2019 Winter/Spring date(s): (to be confirmed)
Monday, February 25 - 9am - 4:30pm
Monday, April 22 - 9am - 4:30pm
Prerequisite: Linux Essentials workshop (or proof/assertion of proficiency in bash shell)
Location: Genetics/Biotech Center
425 Henry Mall Madison, WI 53706
LIMITED to 10 participants - (2 minimum)
REGISTER: use Google Calendar link to register on chosen date
- It is necessary to register for each workshop separately.
- Printed original exercise book: if registration is less than 1 week a photocopy version may be substituted.
The workshops will focus on introducing researchers to the principles behind RNA-Seq analysis and will provide a hands-on introduction to software and analysis pipelines for RNA-Seq. Workshop is aimed at teaching the computational process that takes the raw data all the way through the high level analysis. We will focus on advanced analysis using a Linux command line environment to run open-source RNA-Seq software.
In this all day workshop with lecture and hands on exercises. The morning session has more "hand holding" and the afternoon session provides time for applying what was learned.
Materials will cover the following topics:
Participants are expected to have a basic knowledge of the Linux environment (bash shell) and a basic understanding of statistical methods.
Must be comfortable with the Linux command line and familiar with basic Linux commands.
If you have registered for the Linux Basic for NGS Data Analysis or DoIT's Linux in a Day free course for UW Students, you are considered to meet the prerequisite.
* There is a minimal set of software that should be installed on laptops BEFORE attending the workshop. Instructions will be provided to attendees prior to the workshop and can be found within the PDF document: GETTING PREPARED FOR CLASS
Fee: $190 / seat
Jean-Yves Sgro, Ph.D., Biotechnology Center - email@example.com
Dr. Deborah Muganda-Rippchen, Ph.D. Center for Predictive Computational Phenotyping
Dr. Jeremy Glasner, Ph.D., Biotechnology Center
All cancellations need to be notified 72 hours in advance.