The Gladstone Data Science Training Program provides learning opportunities and hands-on workshops to improve your skills in bioinformatics and computational analysis. Gain new skills and get support with your questions and data. This program is co-sponsored by UCSF School of Medicine.

Gene expression is central to cell biology. Disease pathways often involve changes in the expression levels of at least some genes. RNA-seq has become one of the most popular experimental methods to quantify gene expression levels. This 2-day hands-on workshop will focus on the data analysis steps for recovering actionable insights from a typical bulk RNA-seq dataset.

You’ll learn how to perform a quality check of the raw data in the typical format provided by sequencing centers, process it by trimming adapters, map trimmed reads to a reference genome, and tally gene-wise counts. You’ll learn to analyze high-throughput data using docker, learn about various methods of quality control at each step, and interpret data formats such as FASTQ, BAM, and GFF. No prior RNA-seq experience is required.

Visit the workshop site for more details and materials.

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