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Tutorial Details: Two-day Workshop - SNP Variant Detection Applied Tutorial - Using the Genome Analysis Tool Kit (GATK) Best-practices Pipeline - WEBINAR

Date: Wednesday, November 28, 2012, 01:00 pm - 04:00 pm
Instructor(s): Kevin A Silverstein PhD, MSI, John R Garbe, , Dr. Innocent G Onsongo, MSI

**This is a two-day workshop. Attendance is required on both November 28 and 29 (1:00 to 4:00 both days).**

ONLINE PARTICIPATION: People unable to attend the tutorial SNP Variant Detection Applied Tutorial in person in 575 Walter will be able to view the tutorial online through UMConnect. Please register for the tutorial as usual.

Registered users will receive an email with the meeting information within 24 hours of the workshop start date. Please visit to ensure that your system meets the minimum requirements necessary to participate in this webinar.

IMPORTANT NOTE: To ensure completion of the computational exercises that are part of the tutorial only in-person attendees will be able to participate in the hands-on activities.


For our virtual attendees who may have existing MSI and Galaxy accounts, we ask them to observe the presenters’ request to not run the hands-on portion of the tutorial. Systems will be monitored and non-complying processes will be terminated.

The tutorial will be recorded with high-definition video and audio for later viewing along with the stepwise tutorial instructions (PDF file). Please refer to our website to download the materials ( We encourage researchers who are on the waiting list or not able to attend to review this material and go through the tutorial at their leisure. RISS analysts will be able to answer questions from users with MSI research accounts; please send questions to (subject line: RISS tutorial).

All registered participants will be notified before the tutorial of any changes.

Participants are expected to be familiar with next-generation sequence data. Participants do not need previous experience with the GATK or Galaxy.

Level: Intermediate
Prerequisites: Familiar with next-gen sequence data