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University of Wisconsin–Madison

Bioinformatics Resource Center

The UW-Madison Biotechnology Center is currently open and following the university's COVID-19 Response regarding campus operations.

Introduction to Next-Gen Sequencing Data Analysis- Variant Discovery

2021 dates:  
Monday,  July 19 - 9am - 4pm 

: Linux Essentials (or proof/assertion of proficiency in bash shell)

Location: During Covid-19: Online (WebEx or other)
425 Henry Mall Madison, WI 53706

LIMITED to 10 participants - (2 minimum)

REGISTER: Use Google calendar link to register
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. (Noteduring COVID19 - book provided as PDF)

This workshop is aimed at researchers interested in using open source tools for analyzing Next Generation DNA Sequencing (NGS) data. After learning essential techniques of the Linux operating system with the bash shell in the Linux Basics workshop, students will apply these newly acquired skills and identify single nucleotide polymorphisms (SNPs) from NGS data using Linux command-line driven open source software and explore the results using graphical visualization tools.

The computer laboratory exercises require that students bring a laptop* to connect to the Linux system in the Biotechnology Center. ;

A $140 fee ($120 online during COVID19is required for each student and includes the costs of a printed manual workbook of over 140 pages or more. (Noteduring COVID19 - book provided as PDF.)

* 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: Preparation for Linux-based workshop

Jean-Yves Sgro,  Ph.D., Biotechnology Center -

Previous instructor(s):
Dr. Deborah Muganda-Rippchen, Ph.D. Center for Predictive Computational Phenotyping
Dr. Jeremy Glasner, Ph.D.,  Biotechnology Center

*No-show Policy*
All cancellations need to be notified 72 hours in advance.