The lecture discusses differential RNA-seq, focusing on gene expression analysis and the challenges of normal distribution in sequencing data. It introduces the Lima algorithm and negative binomial distribution for improved sensitivity in detecting differential genes. The importance of variance stabilization and visualization methods like volcano and MA plots is also emphasized.