This talk concerns statistical methods and software for the analysis of transcriptome sequencing (RNA-Seq) data. We first present exploratory data analysis (EDA) approaches for quality assessment/control (QA/QC) of RNA-Seq reads. Next, we propose within-lane normalization methods to adjust for sample-specific gene-level effects such as length and GC-content. We also propose between-lane...