Dustin Atchley - Revision history

Duatchley at 18:52, 24 March 2016

2016-03-24T18:52:53Z

2016-03-22T17:44:24Z

2016-02-18T18:43:51Z

2016-02-11T18:50:48Z

2016-02-09T18:57:14Z

2016-02-04T18:45:28Z

2016-02-02T19:56:51Z

2016-02-02T18:47:42Z

2016-01-26T19:54:53Z

2016-01-26T19:53:49Z

← Older revision		Revision as of 18:52, 24 March 2016
Line 97:		Line 97:

	Normalization in DESeq compares same gene against itself. FPKM normalized number of reads among genes.		Normalization in DESeq compares same gene against itself. FPKM normalized number of reads among genes.
		+
		+	[[March 24]]

← Older revision		Revision as of 17:44, 22 March 2016
Line 95:		Line 95:

	[[Feb_18]]		[[Feb_18]]
		+
		+	Normalization in DESeq compares same gene against itself. FPKM normalized number of reads among genes.

← Older revision		Revision as of 18:45, 4 February 2016
Line 86:		Line 86:
	Library size and read depth varied. Total read count normalization is the typical route. DESeq is the other standard, which we are using today.		Library size and read depth varied. Total read count normalization is the typical route. DESeq is the other standard, which we are using today.
	Looking for a single number that considers the length and overrepresentation of the number based on that. Normalized for the length of the genes per million reads (Gene_results)		Looking for a single number that considers the length and overrepresentation of the number based on that. Normalized for the length of the genes per million reads (Gene_results)
		+
		+
		+	[[Feb_4]]

← Older revision		Revision as of 19:56, 2 February 2016
Line 85:		Line 85:
	(Quantification normalization)		(Quantification normalization)
	Library size and read depth varied. Total read count normalization is the typical route. DESeq is the other standard, which we are using today.		Library size and read depth varied. Total read count normalization is the typical route. DESeq is the other standard, which we are using today.
		+	Looking for a single number that considers the length and overrepresentation of the number based on that. Normalized for the length of the genes per million reads (Gene_results)

← Older revision		Revision as of 18:47, 2 February 2016
Line 73:		Line 73:

	trim_6i_fastqc.html		trim_6i_fastqc.html
		+
		+	(Blast people found):
		+
		+	Intestines RNA and uptake regulator (80-90% is ribosomal and mitochondrial RNA)
		+
		+	(Online resource people):
		+
		+	Figured out how to download everything, but not the different cluster. There is a sequence searcher for all the genes that they had. No magic list of genes that were differentially regulated.
		+	Found a list in the supplementary materials in one of the papers.
		+
		+	(Quantification normalization)
		+	Library size and read depth varied. Total read count normalization is the typical route. DESeq is the other standard, which we are using today.

@@ Line 48: / Line 48: @@
 Untrimmed:
-split_1no_i_fastqc.html
+[[Media:split_1no_i_fastqc.html]]
 split_2no_i_fastqc.html