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		<updated>2026-05-19T19:30:52Z</updated>
		<subtitle>User contributions</subtitle>
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	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18983</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18983"/>
				<updated>2017-03-30T14:46:49Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, &lt;br /&gt;
----&lt;br /&gt;
Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
5. looking at chr 16 (Gabpa, Chaf1b, Tiam1, Jam2, Cox17)&lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://software.broadinstitute.org/gsea/register.jsp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Genes of interest after clarifying methods for p-val,0.5: Cacna1h, Son&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/phenotype/marker/MGI:98353?typeFilter=Literature&lt;br /&gt;
&lt;br /&gt;
Genes we know to be triplicated for further investigation:&lt;br /&gt;
Cct8, Bach1, Son, Cryzl1, Runx1, Cbr1,Dscr3, Dyrk1a,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18980</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18980"/>
				<updated>2017-03-30T14:15:56Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, &lt;br /&gt;
----&lt;br /&gt;
Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
5. looking at chr 16 (Gabpa, Chaf1b, Tiam1, Jam2, Cox17)&lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://software.broadinstitute.org/gsea/register.jsp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Genes of interest after clarifying methods for p-val,0.5: Cacna1h, Son&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/phenotype/marker/MGI:98353?typeFilter=Literature&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18979</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18979"/>
				<updated>2017-03-30T14:07:33Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, &lt;br /&gt;
----&lt;br /&gt;
Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
5. looking at chr 16 (Gabpa, Chaf1b, Tiam1, Jam2, Cox17)&lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://software.broadinstitute.org/gsea/register.jsp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Genes of interest after clarifying methods for p-val,0.5: Cacna1h, Son&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18958</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18958"/>
				<updated>2017-03-21T14:06:30Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
5. looking at chr 16 (Gabpa, Chaf1b, Tiam1, Jam2, Cox17)&lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
http://software.broadinstitute.org/gsea/register.jsp&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18952</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18952"/>
				<updated>2017-03-16T14:16:44Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
5. looking at chr 16 (Gabpa, Chaf1b, Tiam1, Jam2, Cox17)&lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18948</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18948"/>
				<updated>2017-03-14T14:54:16Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
&lt;br /&gt;
re did these steps by limiting pval  to 0.001&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18944</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18944"/>
				<updated>2017-03-14T14:42:15Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Today we worked with galaxy to filter out data more&lt;br /&gt;
1. we compared parent dependent trisomy and parent dependent disomy&lt;br /&gt;
2. we filtered these 2 datasets to have a pval less than 0.01&lt;br /&gt;
3. We merged these datasets to find those that matched in both columns&lt;br /&gt;
4. Then used  the 'concatenate' tool to merge all  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18897</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18897"/>
				<updated>2017-02-21T15:13:03Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18896</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18896"/>
				<updated>2017-02-21T14:58:49Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
We are going to target genes that are triplicated and differentially expressed&lt;br /&gt;
&lt;br /&gt;
Maternal: Atp5j, Cbr1, Dopey2, Pigp, Prdm15&lt;br /&gt;
&lt;br /&gt;
Paternal: 1110004E09Rik, App, C2cd2, Chaf1b, Dyrk1a, Ltn1, Mrpl39, N6amt1, Ripk4, Runx1, Sic5a3, Urb1, Wrb&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18887</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18887"/>
				<updated>2017-02-20T17:43:07Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
http://www.sciencedirect.com/science/article/pii/S1097276512002286&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18886</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18886"/>
				<updated>2017-02-20T17:38:37Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18885</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18885"/>
				<updated>2017-02-20T17:20:42Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958)&lt;br /&gt;
&lt;br /&gt;
 Hmgn1&lt;br /&gt;
&lt;br /&gt;
 Mis18a--MIS18A is required for recruitment of CENPA to centromeres and normal chromosome segregation, however if this is differentially expressed could this have an effect on the CENPA expression?&lt;br /&gt;
&lt;br /&gt;
http://string-db.org/cgi/network.pl?taskId=p1PAptAgQut1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 Tiam1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18884</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18884"/>
				<updated>2017-02-20T17:04:28Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Genes to investigate:&lt;br /&gt;
&lt;br /&gt;
ETS_2 (https://www.ncbi.nlm.nih.gov/pubmed/2149958), Hmgn1, Mis18a, Tiam1)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18881</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18881"/>
				<updated>2017-02-16T15:45:11Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, Ttc3, Dscr3, Psmg1, Zbtb21 ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18880</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18880"/>
				<updated>2017-02-16T15:40:32Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, Donson, RUNX1, Paxb1, ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18879</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18879"/>
				<updated>2017-02-16T15:37:32Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes on Chr 16 (Gabpa, Cct8, Usp16, Sod1, 1110004E09Rik,Synj1, Gart, Son, ) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18875</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18875"/>
				<updated>2017-02-16T15:23:59Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes (Brwd1, RUNX1, Gabpa, Paxb1) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18873</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18873"/>
				<updated>2017-02-16T15:21:26Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, Eif4g1&lt;br /&gt;
&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes (Brwd1, RUNX1, Gabpa, Paxb1) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18872</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18872"/>
				<updated>2017-02-16T15:13:28Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, Eif4g1&lt;br /&gt;
&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes (Brwd1, RUNX1, Gabpa) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18871</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18871"/>
				<updated>2017-02-16T15:11:40Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, Eif4g1&lt;br /&gt;
&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
Several genes (Brwd1, Gabpa) have different transcript numbers but are located at the same location. All however, have similar logFC.&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18860</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18860"/>
				<updated>2017-02-14T15:45:03Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, Eif4g1&lt;br /&gt;
&lt;br /&gt;
-Chr 17: &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18859</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18859"/>
				<updated>2017-02-14T15:44:02Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, Eif4g1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18858</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18858"/>
				<updated>2017-02-14T15:43:30Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
-Chr 16: Paxbp1, Brwd1, Gabpa, Jam2, &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18857</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18857"/>
				<updated>2017-02-14T15:35:56Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
Orange: both maternal and paternal share this gene with sig p-value and large FC&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18856</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18856"/>
				<updated>2017-02-14T15:30:34Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (max E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18855</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18855"/>
				<updated>2017-02-14T15:30:18Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value (min E-4) to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18854</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18854"/>
				<updated>2017-02-14T15:25:02Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
Yellow: associated with Down Syndrome (from paper)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18852</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18852"/>
				<updated>2017-02-14T15:15:46Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value to investigate first, then sort by logFC&lt;br /&gt;
Key:&lt;br /&gt;
Light blue highlighter: chr 16&lt;br /&gt;
&lt;br /&gt;
Light green highlight: chr 17&lt;br /&gt;
&lt;br /&gt;
Dark purple highlight: small p-value (most significant difference)&lt;br /&gt;
&lt;br /&gt;
Blue highlight: both a logFC &amp;gt;1 and small p-val&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18851</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18851"/>
				<updated>2017-02-14T14:58:27Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with most significant p-value to investigate first, then sort by logFC&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18850</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18850"/>
				<updated>2017-02-14T14:56:37Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with fold change &amp;gt;1.0 to investigate first&lt;br /&gt;
&lt;br /&gt;
Chromosome 16&lt;br /&gt;
-APP&lt;br /&gt;
&lt;br /&gt;
-Dyrk1a&lt;br /&gt;
&lt;br /&gt;
-Runx1&lt;br /&gt;
&lt;br /&gt;
-Gabpa&lt;br /&gt;
&lt;br /&gt;
-Jam2&lt;br /&gt;
&lt;br /&gt;
-Eif4g1&lt;br /&gt;
&lt;br /&gt;
-Usf3&lt;br /&gt;
&lt;br /&gt;
-Son&lt;br /&gt;
&lt;br /&gt;
-Brwd1&lt;br /&gt;
&lt;br /&gt;
Chromosome 17&lt;br /&gt;
&lt;br /&gt;
-Tulp4&lt;br /&gt;
&lt;br /&gt;
-Eml4&lt;br /&gt;
&lt;br /&gt;
-Adgre1&lt;br /&gt;
&lt;br /&gt;
-Afdn&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18849</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18849"/>
				<updated>2017-02-14T14:53:47Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with fold change &amp;gt;1.0 to investigate first&lt;br /&gt;
&lt;br /&gt;
Chromosome 16&lt;br /&gt;
-APP&lt;br /&gt;
&lt;br /&gt;
-Dyrk1a&lt;br /&gt;
&lt;br /&gt;
-Runx1&lt;br /&gt;
&lt;br /&gt;
-Gabpa&lt;br /&gt;
&lt;br /&gt;
-Jam2&lt;br /&gt;
&lt;br /&gt;
-Eif4g1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18848</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18848"/>
				<updated>2017-02-14T14:50:37Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with fold change &amp;gt;1.0 to investigate first&lt;br /&gt;
&lt;br /&gt;
Chromosome 16&lt;br /&gt;
-APP&lt;br /&gt;
-Dyrk1a&lt;br /&gt;
-Runx1&lt;br /&gt;
-Gabpa&lt;br /&gt;
-Jam2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18847</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18847"/>
				<updated>2017-02-14T14:48:40Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
Methodology:&lt;br /&gt;
&lt;br /&gt;
1. Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
2. Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
3. Copy data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
4. Used R Studio with R Script Jon created to merge the Galaxy data and data from MGI in order to be able to look at both logFC and gene name together&lt;br /&gt;
&lt;br /&gt;
5. Selected genes with fold change &amp;gt;1.0 to investigate first&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18837</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18837"/>
				<updated>2017-02-09T15:54:53Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
sorted data by chromosome, focussing on chr 16 and 17&lt;br /&gt;
&lt;br /&gt;
Plan: sort data to filter for chr 16 and 17 while conserving log fold change information so we can target specific genes to investigate&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18833</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18833"/>
				<updated>2017-02-08T01:16:42Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp within the DS region&lt;br /&gt;
&lt;br /&gt;
-involved in chromatin remodeling&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18832</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18832"/>
				<updated>2017-02-08T01:13:06Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
-located on Chr16:95992449-96082526 bp&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18831</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18831"/>
				<updated>2017-02-08T01:11:45Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
(ENSMUST000134372) &lt;br /&gt;
&lt;br /&gt;
-up regulated&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
ENSMUST000153398 (Brwd1) &lt;br /&gt;
&lt;br /&gt;
-down regulated &lt;br /&gt;
&lt;br /&gt;
-associated with Down Syndrome&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/reference/diseaseRelevantMarker/MGI:1890651&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18830</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18830"/>
				<updated>2017-02-07T23:01:36Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
Going forward:Want to investigate the CENP-A gene in maternal strains&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18829</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18829"/>
				<updated>2017-02-07T22:44:45Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18828</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18828"/>
				<updated>2017-02-07T22:42:32Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
CENP-A expression decreases in senescent cells&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615257/&lt;br /&gt;
&lt;br /&gt;
At the Crossroads of Chromosomes: Penn Study Reveals Structure of Cell Division's Key Molecule&lt;br /&gt;
&lt;br /&gt;
https://www.pennmedicine.org/news/news-releases/2010/september/at-the-crossroads-of-chromoso&lt;br /&gt;
&lt;br /&gt;
-Black Lab discoveries give insight into genetic inheritance&lt;br /&gt;
-CENP-A could be the 'key' epigenetic marker protein&lt;br /&gt;
-CENP-A changes shape of the nucleosome&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18827</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18827"/>
				<updated>2017-02-07T21:09:28Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
https://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&amp;amp;dopt=full_report&amp;amp;list_uids=1058&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18826</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18826"/>
				<updated>2017-02-07T21:02:18Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved synteny to human 4p16.3&lt;br /&gt;
&lt;br /&gt;
Symptoms:&lt;br /&gt;
&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
&lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18825</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18825"/>
				<updated>2017-02-07T21:01:30Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
CENPA segmental haploidy of chr5 in mice is known to cause Wolf-Hirschhorn syndrome &lt;br /&gt;
-conserved sentence to human 4p16.3&lt;br /&gt;
Symptoms:&lt;br /&gt;
-'Greek warrior helmut facial appearance' &lt;br /&gt;
-mental retardation&lt;br /&gt;
&lt;br /&gt;
Naf D, Wilson LA, Bergstrom RA, Smith RS, Goodwin NC, Verkerk A, van Ommen GJ, Ackerman SL, Frankel WN, Schimenti JC, Mouse models for the Wolf-Hirschhorn deletion syndrome. Hum Mol Genet. 2001 Jan 15;10(2):91-8&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18824</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18824"/>
				<updated>2017-02-07T20:32:59Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into [[MGI Database]]&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
CENPA Gene (Centromere Protein A) located on Chromosome 5, 16.76&lt;br /&gt;
&lt;br /&gt;
&amp;quot;Phenotype Overview: cardiovascular system, cellular, craniofacial, embryo, growth/size/body, mortality/aging, nervous system&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&amp;quot;A mutation in this gene can cause chromosomal missegregation, aneuploidy and apoptosis&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18823</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18823"/>
				<updated>2017-02-07T17:45:23Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into MGI Database&lt;br /&gt;
&lt;br /&gt;
http://www.informatics.jax.org/batch/summary#myDataTable=results%3D25%26startIndex%3D0&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18822</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18822"/>
				<updated>2017-02-07T17:44:40Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into MGI Database&lt;br /&gt;
&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18821</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18821"/>
				<updated>2017-02-07T17:44:25Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
-the limited variation in paternal disomy and trisomy is conserved&lt;br /&gt;
-maternal still has variation&lt;br /&gt;
-there is no clear divide between gender along PC1--what does this mean?&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into MGI Database&lt;br /&gt;
&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18820</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18820"/>
				<updated>2017-02-07T17:27:16Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
&lt;br /&gt;
Copied data to excel and use shortcut to removal decimals without rounding&lt;br /&gt;
&lt;br /&gt;
Copy (100lines of) data into MGI Database&lt;br /&gt;
&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18819</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18819"/>
				<updated>2017-02-07T16:10:12Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121)   with Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	<entry>
		<id>http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18818</id>
		<title>Emilie Uffman</title>
		<link rel="alternate" type="text/html" href="http://gcat.davidson.edu/GcatWiki/index.php?title=Emilie_Uffman&amp;diff=18818"/>
				<updated>2017-02-07T16:09:14Z</updated>
		
		<summary type="html">&lt;p&gt;Emuffman: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Comparison of maternal trisomy and disomy (CB131,126,117,125,122,121) &lt;br /&gt;
 with &lt;br /&gt;
Paternal trisomy and disomy (CB091,089,087,093,100,103)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
Sorting of paternal trisomy data(Emilie) and maternal trisomy data (Jon):&lt;br /&gt;
 &lt;br /&gt;
Use galaxy sort tool to sort p-value in ascending order &lt;br /&gt;
 &lt;br /&gt;
Why is it that for many of the data there is a base mean and all statistics but no p-value? &lt;br /&gt;
 &lt;br /&gt;
ENSMUST00000000674.12 &lt;br /&gt;
'''Base mean''': 8.06384358972545 &lt;br /&gt;
'''LogFC:''' 0.0460016853044759 &lt;br /&gt;
'''Std Error:''' 0.0883691926491015 &lt;br /&gt;
'''Wald-Stats''': 0.520562471212569 &lt;br /&gt;
'''P-value:''' NA &lt;br /&gt;
'''P-adjusted''': N&lt;br /&gt;
&lt;br /&gt;
**See Jon's notes for information on question**&lt;br /&gt;
&lt;br /&gt;
Filtered data on galaxy to remove data with 'NA'&lt;br /&gt;
-skip 0 header line-&lt;br /&gt;
&lt;br /&gt;
Only retained 70.41% of data when filtering to remove 'NA'&lt;br /&gt;
&lt;br /&gt;
'''Excel tools:'''&lt;br /&gt;
Truncate numbers in excel: =left (A1, 18)&lt;/div&gt;</summary>
		<author><name>Emuffman</name></author>	</entry>

	</feed>