Krishna Choudhary, PhD
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.
You’ll learn how to take raw data in the typical format provided by sequencing centers, process it by trimming adapters, map trimmed reads to a reference genome, tally gene-wise counts, and perform differential gene expression analysis. You’ll also learn about 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 prior RNA-seq experience is required.
Note: This workshop will be held over 2 days—July 6 and 8, 2020. Attendance in the first session is mandatory in order to attend the second session.
The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.