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RNA-Seq workshop November 28th

Posted on 24, Nov, 2012 by in

The HSPH Center for Health Bioinformatics, through the Harvard Clinical and Translational Science Center will be offering a one-day introductory workshop on RNA-sequencing this November 28th, 9am-5pm at the Countway Library, Room 403. The 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.

Space is limited, register now if you would like to attend.

Who should attend

Researchers who:

• are generating, or hope to generate RNAseq data
• want to use a simple, graphical interface to analyse their results
• want to analyse their results in a reproducible fashion

Format

The workshop will introduce basic concepts and illustrate 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 start their own Galaxy servers using Amazon’s EC2 environment
to analyze their data, without using the command line.

Schedule

9 am – 11am: Introduction to Galaxy
11am – 5pm: RNA-seq (includes a break for lunch1 and a short break in
the afternoon)

Requirements

While biological and medical knowledge are helpful, students do not need to have prior programming or “command line” experience to participate in the course. For those unfamiliar with the Galaxy platform, we will start the the workshop with an optional introductory Galaxy tutorial, covering such topics as data import, filtering, combining, conversion and how to perform actions on genomic regions. After a short break we will spend the rest of our time applying this knowledge to RNA-seq. Those with prior Galaxy experience may choose to skip the first session and join us at 11am, though all are welcome to attend.

Time and location

9am-5pm, Wednesday November 28th, 2012

Countway Library
Longwood Campus
10 Shattuck Street
Boston, MA 02115

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