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		<id>https://gcat.davidson.edu/GcatWiki/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Kgutteridge</id>
		<title>GcatWiki - User contributions [en]</title>
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		<updated>2026-04-03T22:58:59Z</updated>
		<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://gcat.davidson.edu/GcatWiki/index.php?title=MATH&amp;diff=17404</id>
		<title>MATH</title>
		<link rel="alternate" type="text/html" href="https://gcat.davidson.edu/GcatWiki/index.php?title=MATH&amp;diff=17404"/>
				<updated>2014-06-05T14:51:13Z</updated>
		
		<summary type="html">&lt;p&gt;Kgutteridge: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Nava:&lt;br /&gt;
&amp;quot;NAVA is a tool for visualising and analysing annotated secondary structures of large single-stranded RNA or DNA sequences (such as full-length virus genomes). The purpose of this tool is to assist investigators in evaluating the biological relevance of RNA or DNA secondary structures within particular sequences.&amp;quot;&lt;br /&gt;
[https://sites.google.com/site/cbiomichael/software Nava Link]&lt;br /&gt;
&lt;br /&gt;
StatAlign:&lt;br /&gt;
&amp;quot;StatAlign is an extendable software package for Bayesian analysis of Protein, DNA and RNA sequences. Multiple alignments, phylogenetic trees and evolutionary parameters are co-estimated in a Markov Chain Monte Carlo framework, allowing for reliable measurement of the accuracy of the results.&lt;br /&gt;
This approach eliminates common artifacts that traditional methods suffer from, at the cost of increased computational time. These artifacts include the dependency of the constructed phylogeny on a single (probably suboptimal) alignment and bias towards the guide tree upon which the alignment relies.&lt;br /&gt;
The models behind the analysis permit the comparison of evolutionarily distant sequences: the TKF92 insertion-deletion model can be coupled to an arbitrary substitution model. A broad range of models for nucleotide and amino acid data is included in the package and the plug-in management system ensures that new models can be easily added.&amp;quot;&lt;br /&gt;
[http://statalign.github.io/index.html StatAlign link]&lt;br /&gt;
&lt;br /&gt;
UNAFold:&lt;br /&gt;
&amp;quot;UNAFold is a comprehensive software package for nucleic acid folding and hybridization prediction.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
Statistics work:&lt;br /&gt;
[[File:Statistics_ChiSquared.xlsx‎]]&lt;br /&gt;
&lt;br /&gt;
Excel File for Calculation of Probabilities of Sampling Error: [[File:Sample Probabilities.xlsx]]&lt;br /&gt;
&lt;br /&gt;
Fisher's Exact Test [[File:Fishers_Exact_Test.ppt]]&lt;br /&gt;
&lt;br /&gt;
'''Markov Chains:'''&lt;br /&gt;
&lt;br /&gt;
An introduction to Markov Chains and Hidden Markov Models. [[File:Markov_Chains.pptx]]&lt;br /&gt;
&lt;br /&gt;
Hidden Markov Models [[File:HiddenMarkovModels.pdf‎]]&lt;br /&gt;
&lt;br /&gt;
A Presentation on Hidden Markov Models: [[File:Hidden_Markov_Models.pptx]]&lt;/div&gt;</summary>
		<author><name>Kgutteridge</name></author>	</entry>

	<entry>
		<id>https://gcat.davidson.edu/GcatWiki/index.php?title=File:Fishers_Exact_Test.ppt&amp;diff=17403</id>
		<title>File:Fishers Exact Test.ppt</title>
		<link rel="alternate" type="text/html" href="https://gcat.davidson.edu/GcatWiki/index.php?title=File:Fishers_Exact_Test.ppt&amp;diff=17403"/>
				<updated>2014-06-05T14:50:14Z</updated>
		
		<summary type="html">&lt;p&gt;Kgutteridge: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Kgutteridge</name></author>	</entry>

	<entry>
		<id>https://gcat.davidson.edu/GcatWiki/index.php?title=File:Fisher%E2%80%99s_Exact_Test.pptx&amp;diff=17402</id>
		<title>File:Fisher’s Exact Test.pptx</title>
		<link rel="alternate" type="text/html" href="https://gcat.davidson.edu/GcatWiki/index.php?title=File:Fisher%E2%80%99s_Exact_Test.pptx&amp;diff=17402"/>
				<updated>2014-06-05T14:45:49Z</updated>
		
		<summary type="html">&lt;p&gt;Kgutteridge: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;/div&gt;</summary>
		<author><name>Kgutteridge</name></author>	</entry>

	<entry>
		<id>https://gcat.davidson.edu/GcatWiki/index.php?title=MATH&amp;diff=17289</id>
		<title>MATH</title>
		<link rel="alternate" type="text/html" href="https://gcat.davidson.edu/GcatWiki/index.php?title=MATH&amp;diff=17289"/>
				<updated>2014-05-22T15:38:00Z</updated>
		
		<summary type="html">&lt;p&gt;Kgutteridge: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Nava:&lt;br /&gt;
&amp;quot;NAVA is a tool for visualising and analysing annotated secondary structures of large single-stranded RNA or DNA sequences (such as full-length virus genomes). The purpose of this tool is to assist investigators in evaluating the biological relevance of RNA or DNA secondary structures within particular sequences.&amp;quot;&lt;br /&gt;
[https://sites.google.com/site/cbiomichael/software Nava Link]&lt;br /&gt;
&lt;br /&gt;
StatAlign:&lt;br /&gt;
&amp;quot;StatAlign is an extendable software package for Bayesian analysis of Protein, DNA and RNA sequences. Multiple alignments, phylogenetic trees and evolutionary parameters are co-estimated in a Markov Chain Monte Carlo framework, allowing for reliable measurement of the accuracy of the results.&lt;br /&gt;
This approach eliminates common artifacts that traditional methods suffer from, at the cost of increased computational time. These artifacts include the dependency of the constructed phylogeny on a single (probably suboptimal) alignment and bias towards the guide tree upon which the alignment relies.&lt;br /&gt;
The models behind the analysis permit the comparison of evolutionarily distant sequences: the TKF92 insertion-deletion model can be coupled to an arbitrary substitution model. A broad range of models for nucleotide and amino acid data is included in the package and the plug-in management system ensures that new models can be easily added.&amp;quot;&lt;br /&gt;
[http://statalign.github.io/index.html StatAlign link]&lt;br /&gt;
&lt;br /&gt;
UNAFold:&lt;br /&gt;
&amp;quot;UNAFold is a comprehensive software package for nucleic acid folding and hybridization prediction.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
An introduction to Markov Chains and Hidden Markov Models. [[File:Markov_Chains.pptx]]&lt;/div&gt;</summary>
		<author><name>Kgutteridge</name></author>	</entry>

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