Data Science Training Program
May 11-May 12, 2020

Learning Objectives

  1. How to go from a matrix of raw gene expression counts to differentially expressed genes.
  2. How to analyze experimental designs that go beyond 2-group comparisons using edgeR’s generalized linear modeling capabilities. 
  3. Ways to test specific hypotheses using a joint model fit. 

A minimum of 4 to 6 months experience programming in R and attended the RNAseq Analysis in R workshop or equivalent.

Learning Path
This is an intermediate workshop in the RNA-Seq Analysis series. Prior experience with RNA-Seq analysis is required. See introductory workshop: Introduction to RNA-Seq Analysis.


Note: This workshop will be held over 2 days, May 11–12, 2020. Attendance in the first session is mandatory in order to attend the second session.


May 11-May 12, 2020
2:00-4:00pm PDT

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.

Diversity, Equity, and Inclusion

At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.

We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.