We will meet in Room 4.128 of Mezes Hall (MEZ). We strongly encourage you to use the computers provided in the classroom for these tutorials, but you may also bring your personal laptops.

Course Overview

The course will be built based on 2 ~90 minute sections per day for 4 days, with a typical format of a brief presentation and a hands on guided tutorial during each section with additional "bonus tutorials" covering important (yet not critical) aspects of NGS data analysis that can be completed in each section time permitting, or on your own. By the end of this course, we hope to achieve the following goals:

Teach you different ways next generation sequencing libraries are constructed, and the advantages/disadvantages associated with the different types.
Familiarize you with how the Texas Advanced Computing Center (TACC) can be used to simplify and speed up your data analysis.
Teach you the basics of read mapping in both individuals and populations, and identifying variants within individuals and rare variants within populations.
Provide reference materials covering a breadth of material sufficient to give you a starting point of where to begin you own data analysis, and enough experience that you can begin that analysis on your own.

Your Instructors

Name	Initials	Affiliation	Expertise
Daniel Deatherage	DD	Barrick Lab	Unix, Python, NGS Library Prep, Capture, Rare Variant Identification
Sean Leonard	SL	Barrick Lab	Unix, R

A nod to the past

This class has been taught multiple times in the last few years. We wish to acknowledge a great deal of help with creating these web pages and materials from previous instructors of the Intro to NGS Bioinformatics course taught in May 2013 and the Genome Variant Analysis Course 2014 taught in May 2014.

Two individuals warrant special mention, the director of the GSAF Scott Hunicke-Smith, and Jeffrey Barrick have been the driving force behind this class for a number of years, and the majority of the tutorials presented here were developed by them or adapted from their work.