Running DESeq2 is the straightforward part. Understanding what the output actually means — and avoiding the mistakes that lead to wrong conclusions — is where most researchers struggle. This guide explains every column in the…
Differential gene expression analysis is one of the most common outputs of RNA-seq experiments. After running tools such as DESeq2, edgeR or limma-voom, researchers often receive a table containing gene IDs, expression values, log2 fold…
A low RNA-seq mapping rate is one of the most common warning signs in transcriptomics analysis. If too many reads fail to align to the reference genome or transcriptome, downstream results such as gene counts,…
Explore transcriptomics, the study of RNA molecules that reveals which genes are active in cells and how they respond to their environment.