NGS Data Analysis Course, Spring 2015
The Harvard Chan Bioinformatics Core is excited to offer an in-depth course for analysis of next-generation sequencing data for Harvard Medical School-affiliated researchers beginning at the end of March 2015. The course description, schedule, and application details are provided below. Application closed.
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 RNA-Seq, ChIP-Seq, and Variant Calling. The sessions will include downstream analysis focused on biological/functional significance. In addition, participants will gain skills in the areas of UNIX, R, compute cluster environments, version control using Git, basic shell scripting, and data visualization with genome browsers. At the end of this course, participants can expect to have the expertise to independently run data analysis for sequencing experiments. No prior programming experience or command-line training is required.
The course is comprised of 6 hands-on sessions held over a period of three months beginning the last week of March 2015. Each session runs for 2 consecutive days (9am to 5pm) and is held every other week. Please note that attendance is mandatory for all sessions (see schedule below for dates). Homework assignments for practicing key concepts will be assigned at the end of each session, and it will be due at the beginning of the following session in 2 weeks (homework assignments will take no more than roughly 2 hours to complete). Office hours will be held twice during the week between sessions to help with homework questions or general questions.
The full schedule is listed below, and you can find the detailed agenda here.
|March 23rd - 24th||Software Carpentry (R, UNIX, Git)||9am - 5pm|
|April 7th - 8th||Introduction to Computational Clusters and NGS Data Analysis||9am - 5pm|
|April 21st - 22nd||RNA-Seq Part I||10am - 5pm|
|May 4th - 5th||RNA-Seq Part II||10am - 5pm|
|May 18th - 19th||Variant Calling||10am - 5pm|
|June 1st - 2nd||ChIP-Seq and Closing Remarks||10am - 5pm|
Along with members of the TnT steering committee, we will be selecting 20 participants for this course based on various criteria.
Application for the course will open on February 4th, 2015.
The course is open to Harvard Medical School-affiliated researchers from the Harvard NeuroDiscovery Center and the Basic and Social Science Departments on the Quad. To be considered for participation in the course, you must fill out or submit all of the following by the submission deadline, February 20th, 2015:
Application is now closed.
- Registration form
- Curriculum vitae or Resume
- Research statement:
The research statement should be no longer than one page, single-spaced, using 12pt font. The statement should include a detailed description of your current research project(s), a discussion of the future direction of your research, and a description of how this workshop will benefit your research goals.
- PI approval:
This can be in the form of your PI's signature on your research statement or an email to firstname.lastname@example.org acknowledging your application.
Instructions for Submission:
Please fill out the online registration form and submit the remaining documents as PDF files by email. Please make sure that the subject line of your email is as follows: CourseSubmission_LastName_FirstName (e.g. CourseSubmission_Smith_Joe). Once we recieve all the materials, you will get an email notification.
Please note that incomplete applications will not be considered.
You will be informed of the decision regarding your application by March 2nd.
If your application is accepted, you will be charged $200 as the participation fee for this course, and payment will expected by March 11th. If not received by this date, then you will forfeit your spot in the course.
If you have any questions regarding the application process, please do not hesitate to email us at email@example.com.
Sponsored by Harvard Medical School Tools and Technology (TnT) Committee and Harvard NeuroDiscovery Center (HNDC)