I was hoping here that if one sample is sequenced in each lane, I don't need to correct gc content bias. But now that I don't know how to find number of samples in each lane, I wanna check if GC content bias has occurred. Should I use deep tools (computeGCBias) on galaxy for my rna-seq bam files and then deep tools (correctGCBias) to correct the bias? There are some statistical methods to correct GC bias in table of read counts too. Which one is better? using deep tools on bam files or using other methods available for counts table? I want to do differential expression analysis.