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

Introduction to UNIX and RNA-seq Analysis Workshop

At a glance
Opportunity for
  • Participants to learn how to efficiently manage and analyze data using the UNIX command line interface and high performance computing (HPC).
  • 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 course.
  • Preference will be given to applicants with limited sequencing experience and those interested in RNA-seq analysis.
Time commitment
  • Three days
Funding level
  • Tuition-free
Session dates
  • September 25-27, 2017
Application Due
  • 5:00pm on August 16, 2017
  • Endorsements due 5:00pm August 21, 2017
  • All applicants will be notified of their status via email no later than September 6, 2017.
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This three-day hands-on workshop taught by the teaching team at the Harvard Chan Bioinformatics Core will cover how to efficiently manage and analyze data using the UNIX/Linux command line interface and high-performance computing (HPC). These methods form the foundation of high-throughput sequencing data analysis and are critical for researchers looking to improve efficiency when performing computational tasks. All hands-on activities will be performed in the context of an RNA-seq workflow. Ideal participants for this workshop are researchers who want to build a foundation for analyzing sequencing data.

In this workshop, participants will learn the basics of UNIX/Linux and gain experience using the HMS compute cluster (Orchestra), as well as learn the workflow (tools and parameters) to generate gene counts (expression data) from RNA sequencing data, and design considerations for an RNA-seq experiment.

It is strongly recommended that applicants accepted into the UNIX workshop also apply for the November 2017 iteration of the Introduction to R: Basics, Plots, and RNA-seq Differential Expression Analysis workshop. The Introduction to R workshop will show participants how to use gene count data generated in the UNIX course to generate lists of differentially expressed genes.

The application for the Introduction to R workshop will open July 21, and accepted applicants of the UNIX workshop will have priority admission.

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.