HMS RNA-Seq Workshop - November 17th

RNA-seq is replacing microarrays as a new tool to study transcriptome changes through massively parallel "Next Generation" sequencing (NGS). The ability to read cDNA sequences directly makes it possible to study non-model organisms as well as model organisms with unprecedented sensitivity and reproducibility. This introductory workshop will cover best practices for quality control, read alignment, and expression analysis using RNA-seq data.

No prior programming experience or command-line training is required.

Who should attend?

Harvard Medical School affiliated researchers from the Harvard NeuroDiscovery Center or the Basic and Social Science Departments on the Quad who:

• are generating or hope to generate RNA-seq data
• want to use a simple, graphical interface to analyze their results
• want to analyze their results in a reproducible fashion

Format and Schedule

RNA-seq using Galaxy (9am - 5pm, includes a break for lunch* and short breaks in the morning and afternoon): Introduces basic concepts and illustrates an end-to-end data analysis workflow through live tutorials using the Galaxy analytical framework. At the end of this activity, participants will be able to set up their own Galaxy servers using Amazon’s EC2 environment to analyze their data, without using the command line.

*Lunch will not be provided, but there are a number of cafeterias and restaurants in the immediate vicinity.

Requirements

Participants must be Harvard Medical School-affiliated researchers from the Harvard NeuroDiscovery Center or the Basic and Social Science Departments on the Quad. Preference will be given to participants who are conducting or planning studies using RNA-seq data.

No prior experience using the Galaxy framework or the command line required.