2016 SUMMER SCHOOL FOR BIG DATA IN BIOLOGY
REGISTRATION FOR 2017 COMING SOON!
The Center for Computational Biology and Bioinformatics at The University of Texas at Austin is proud to host the 3rd Annual Summer School for Big Data in Biology May 23–26, 2016. The summer school provides a unique hands-on opportunity to acquire valuable skills directly from experts in the field, with courses tailored towards novices or intermediate and advance users.
This year we are offering 11 courses. Each will meet for four half-days (either mornings or afternoons) for a total of twelve hours. Instructors will post lectures, datasets, exercises, and course information on a website accessible to enrolled participants. There will be no examinations, but participants may request certificates of completion. Academic credit will not be issued. Please carefully check the specified prerequisite knowledge before enrolling in a course. Payment information for courses is at the bottom of this page.
We now offer credit for educational professional development opportunities during our 2016 Summer School for Big Data in Biology! Teachers currently working in PK–12 settings can earn 12 hours of Continuing Professional Education (CPE) by attending one of our courses held May 23-26, 2016.
Need a quick refresher before the summer school?
Many courses prefer familiarity with Unix, R, and or Python. If you are in need of a refresher for these topics, check out the following 3-hour short courses.
R-Data Analysis and Graphics: Tues March 22. For course details and to register, visit: https://stat.utexas.edu/training/software-short-courses
Intro to UNIX for Bioinformatics: Thursday April 28. For course details and to register, visit: http://ccbb.biosci.utexas.edu/shortcourses.html
Intro to R for Bioinformatics: Mon May 5. For course details and to register, visit: http://ccbb.biosci.utexas.edu/shortcourses.html
|TOPIC||MORNING COURSES Mon - Thur, May 23-26, 9 a.m.-12 p.m.||AFTERNOON COURSES Mon - Thur, May 23-26, 1:30 p.m.-4:30 p.m.|
DNA and RNA sequencing methods and analyses
|Proteomics||Introduction to Proteomics|
Day and Time: Mon-Thur 9:00 a.m. – 12:00 p.m. Location: MEZ 1.118
Description: The course will focus on being more productive in the Bash shell. We will learn about regular expressions, Unix utilities like cut/sort/join, awk, advanced piping, process substitution, string manipulation, and Bash scripting. Learn to love the command line and increase your productivity with rapid manipulation of bioinformatic data!
Instructor: Benjamin (Benni) Goetz, M.S., Bioinformatics Consultant
Instructor Bio: : After graduating from UT Austin with a Masters degree in mathematics, Benni Goetz joined the CCBB as a bioinformatics consultant.
Preferred or prerequisite skills: Basic familiarity with the command line is assumed, but nothing beyond basic file manipulation.
Laptop requirement: Students must bring their own laptops. Windows users should have PuttySSH installed. Mac or Linux users will not need to install anything extra.
Please read this disclaimer if you are using the UT ProCard for payment!