A workshop series on how to efficiently manage and analyze sequencing data. Bioinformatics Workshops

Introduction to RNA-Seq Analysis Workshop

At a glance
Opportunity for
  • Participants to generate RNA-Seq data
  • MD, DNP, PhD or equivalent, DDS/DMD
  • Receipt of endorsement from an applicant's supervisor stating the applicant will be able to attend all days of the workshop.
  • Preference may be given to participants who are conducting or planning studies using RNA-Seq data. No prior programming experience or command line training is required.
Time commitment
  • One day
Funding level
  • Tuition-free
Session date
  • March 16, 2017
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This one-day introductory workshop introduces basic concepts and illustrates an end-to-end data analysis workflow for RNA-Seq. Participants will learn through live tutorials using the Galaxy analytical framework.

RNA-Seq, a high-throughput sequencing approach to analyze and compare gene expression, has become a standard laboratory technique. The ability to read cDNA sequences directly makes it possible to study transcriptomes with unprecedented sensitivity and reproducibility. In this workshop, researchers who want to generate and start analyzing RNA-Seq data will learn best practices for experimental design, quality control, read alignment, and expression analysis.

By the end of this workshop, participants will be able to design effective RNA-Seq experiments, and understand the analysis workflow, beginning with raw data and ending with a list of differentially expressed genes. Participants will also learn the basics of setting up a Galaxy instance on Amazon's EC2 environment to analyze their data without using the command line.

Harvard Catalyst Postgraduate Education Program's policy requires full attendance and the completion of all activity surveys to be eligible for CME credit; no partial credit is allowed.

The Harvard Catalyst Education Program is accredited by the Massachusetts Medical Society to provide continuing medical education for physicians.