Gene expression is central to cell biology. Disease pathways often involve changes in the expression levels of at least some genes. To quantify the expression levels, RNA-seq has become one of the most popular experimental methods. This hands-on workshop will provide an introduction to a typical bulk RNA-seq protocol and focus on the data analysis steps for recovering actionable insights.

We will start with raw data in the typical format that is provided by sequencing centers. We will process it by trimming adapters, mapping trimmed reads to a reference genome, tallying gene-wise counts, and end with differential gene expression analysis. We will also look at various methods of quality control at each step, learn to interpret data formats such as FASTQ, BAM, and GFF, and discuss the relevant tools and technology.

*No data analysis or RNA-seq experience is required. Bring your laptop!

Learning Path

Novice Level. This is an introductory workshop in the RNA-Seq Analysis series. No prior experience required. No prerequisites