RNA-Seq data analysis is a powerful method for studying the transcriptome, allowing researchers to quantify gene expression levels, identify novel transcripts, and detect alternative splicing events. It involves various computational steps, including quality control, alignment, quantification, normalization, and differential expression analysis to derive meaningful biological insights from raw sequencing data.