Differential Expression (DE) entails examining the fraction of the genome that is responsible for making products that drive organismal function. Gene expression is influenced by various extrinsic physiological and environmental as well as several intrinsic properties of the organism. Whole transcriptome profiles are becoming increasingly popular, useful and generate large volumes of data. Knowing how to handle, analyze, and make biological inferences on this scale of data is a valuable skill-set for students and researchers.

When
January 3 – 7, 2022 (5 days)
9 am – 4 pm

Where
Online (by the National Center for Genome Resources (NCGR) Santa Fe, NM)

Audience
This program is geared towards training biologists (undergraduates, graduates and researchers) with minimal or no bioinformatics experience. Space is limited.

Objective
Students will acquire the skill set to independently analyze RNA-Seq data using the command line interface, analytical workflows and current DE tools. UNIX fundamentals, RNA-Seq, data QC, alignments, read count generation and pathway analysis. Visualization will also be briefly covered with topics such as generation of simple graphs using R and utilizing genome browsers (e.g. Integrative Genomics Viewer (IGV)).

For more details, visit: NCGR 2022 Virtual Differential Expression (DE) Workshop | New Mexico INBRENew Mexico INBRE (nminbre.org)