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Old 07-25-2016, 01:55 AM   #1
Bidfudge
Junior Member
 
Location: France

Join Date: Jun 2016
Posts: 6
Default p-value and log fold change

Hi everyone,

I was using DEseq2 to analyse my data from RNAsequencing.
Basically, i have 2 conditions and i would like to evaluate which gene are differentially expressed between these both conditions.
So i performed a DEseq2 analysis with my aligned data, and i used a Bonferroni correction for the multiple testing.
What i don't understand is that i have some differentially expressed genes in my experiment, (padj<0.05), but when i looked for the fold change of transformed data (with the assay(...) function of DEseq2), i find some DE gene which have for example just 1.00 in fold change.
So i was wondering how a gene can be considerated as DE even if there is not fold change between the both condition.

Maybe i miss something, this is my first analyse of RNAseq data

Thanks you and also all the contributors that provides some powerful advices in this forum =)
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