NGS Data Analysis Course 2017 (May - July)

The Harvard Chan Bioinformatics Core is excited to offer an in-depth course for analysis of next-generation sequencing (NGS) data beginning on May 31, 2017. The course description, schedule, and application details are provided below.

Application Status: CLOSED

Description 

This course is aimed at bench biologists who are interested in learning about NGS-based genomic analysis. The topics covered in-depth during this course are analysis of RNA-Seq and ChIP-Seq data, with an optional Variant Calling session. The sessions will also include functional analysis downstream of sequence data processing. During this course, participants will gain skills in the areas of (a) UNIX and basic shell scripting, (b) high-performance compute clusters, and (c) R for statistical analysis and data visualization. 

At the end of this course, participants can expect to have the expertise to independently run data analysis for sequencing experiments.

Prior programming experience or command-line training is not required to take this course.

Format 

The course is comprised of five hands-on sessions held over a period of five weeks beginning May 31st, 2017. Each session runs for 2 consecutive days (9am to 5pm), and the sessions are held every week. Please note that attendance is mandatory for the first 5 sessions (see schedule below for dates). Homework assignments for practicing key concepts will be assigned at the end of each session, and they will be due at the beginning of the following session in one week. Weekly homework assignments will take approximately 6 hours to complete and completion of all of the weekly assignments is required. Office hours will be held weekly to help with homework questions and/or general questions about the previous session.