Hi All, 
I need some help interpreting my DEseq2 results. Here is a bit of my DEseq2 code:

    dds$cond <- relevel(dds$cond, ref = "C")
    dds = DESeq(dds, fitType = "parametric")
    my.names<-resultsNames(dds)
    my.names
    [1] "Intercept"   "cond_T_vs_C"

Then I did:

    res<- results(dds, contrast=list( "cond_T_vs_C"), test="Wald")

Now looking at the result, for this particular gene I have:

    baseMean log2FoldChange     lfcSE      stat      pvalue        padj
    Seq_483975_2034 1995.245      -1.354257 0.4045764 -3.347346 0.000815893 0.005723768

Can someone please explain me whether this gene is down regulated in Control (C)  or in Treatment (T)? Thanks
Use the `plotCounts()` function to inspect the gene of interest, you'll be able to see then if the gene is up- or down-regulated.