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| Thank you for this excellent advice! I've been following this thread with great interest in hopes of finding good controls for expression experiments. Has anyone assessed the behavior of "invariant" (in quotes because they may still vary under some treatments) genes using next-gen sequencing data? There are a several new Illumina data sets available in the short-read archive (from Oregon State) and my lab has a data set from a 454 sequencing experiment (longer reads) comparing a treatment and control. We were thinking of using the "invariant" genes to calculate a normalization factor across the data sets so that we could more confidently estimate differential expression, and then, of course, follow up with another gene measurement method (e.g., qRT-PCR) to confirm the results. Knowing which genes really do not vary (much) under our conditions of interest will be critical. Best, Ann Loraine On Sat, Oct 3, 2009 at 7:30 PM, Eve Wurtele <[Only registered users see links. ]> wrote: |
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| arabidopsis , comparisons , dat , genes , good , ngs , ofhousekeeping , set |
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