How do you normalize RNA-seq data?

RNA-seq data is normalized to account for sequencing depth, gene length, and technical variation, ensuring fair comparisons across samples and reducing systematic biases. Common methods include TPM (Transcripts Per Million) and FPKM/RPKM for gene expression scaling, as well as count-based approaches like DESeq2’s size-factor normalization or edgeR’s TMM.