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    <title>DESeq on Chatomics</title>
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    <description>Recent content in DESeq on Chatomics</description>
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    <copyright>&amp;copy; 2018 Ming &#39;Tommy&#39; Tang</copyright>
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      <title>DESeq work flow</title>
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      <pubDate>Fri, 01 Nov 2013 19:57:00 -0700</pubDate>
      
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      <description>I was working on a human RNA-seq data set, and I already got the count matrix by HTSeq.
see my previous post here RNA-seq analysis samtools sort and htseq-count
Now, I am ready to use DESeq to detect the differentially expressed genes.
I followed the nature protocol from Simon Anders and here http://dwheelerau.com/2013/04/15/how-to-use-deseq-to-analyse-rnaseq-data/
for more details read the DESeq manual.
 View this gist on GitHub
several out put  &amp;gt; head(countsTable) a1 b1 a2 b2 a3 b3 0R7H2P 21 9 3 6 1 4 5S_rRNA 55 87 56 56 34 40 7SK 171 89 61 84 57 47 A1BG 15 34 38 10 12 23 A1BG-AS1 65 49 140 41 40 44 A1CF 293 109 417 90 181 84  &amp;gt; head(counts(cds,normalized=TRUE)) a1 b1 a2 b2 a3 0R7H2P 14.</description>
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