I have an Excel sheet of RNAseq results. The raw data was analyzed by a company and was not available to me. I have three sets of data on this sheet besides the gene names and p-values: Raw counts, read counts (normalized, I think?) and FPKM.
I want to pick out a couple of significant DE genes for a bar graph to empathize their expression levels. Which data should I use for this purpose? The FPKM or a log10 variation of the normalized counts? I'm not a biostatistician by any means, just a neuroscientist. Plus, this data is second/third-hand stuff (from company to collaborating PI to my PI). Can someone help me parse through this stuff?