The 2nd Annual Symposium on Big Data in Biology (BDiB) was held Friday May 16th, 2014, in NHB 1.720 on the UT campus. Hosted by the Center for Computational Biology and Bioinformatics and supported by the College of Natural Sciences Bioinformatics Initiative, this event showcased the excellent research done here at The University of Texas at Austin, including TACC (Texas Advanced Computing Center), that takes advantage of high throughput approaches, complex data and/or high performance computing.

This annual symposium provides an ideal opportunity for registered attendees from UT Austin and nearby institutions with an interest in computational biology, bioinformatics, and systems biology to interact. A poster session follows the symposium and allows trainees to explain their work and facilitate fruitful exchanges. This year, there was a breakout session during the lunch period to discuss such topics as: Big Data in Undergraduate Teaching, Industry Career Panel, and Big Data in Medicine.

The 2014 program is listed below. You may also download it here.

2nd Annual Symposium on Big Data in Biology
Friday, May 16, 2014
NHB 1.720

08:45 Breakfast

09:15 Opening remarks: Hans Hofmann (Director, Center for Computational Biology & Bioinformatics) Dan Stanzione (Acting Director, Texas Advanced Computing Center)

09:25 Rosalind Eggo (Statistics and Data Sciences)
Epidemics of the "common cold" and the dynamics of severe asthma exacerbations

09:50 Claudio Casola (Texas A&M University)
Interlocus gene conversion and gene evolution in eukaryotes

10:15 Claus Wilke (Integrative Biology)
Biophysical perspectives on molecular evolution

10:40 Coffee break

11:00 Keynote Lecture: Pamela Silver (Harvard Medical School)
Designing Biological Circuits

12:00 Lunch Breakout Sessions*
Topics: Big Data in Undergraduate Teaching, Industry Career Panel, Big Data in Medicine

01:30 Vishy Iyer (Molecular Biosciences)
Transcriptional regulation of the human genome: Lessons from ENCODE and beyond

01:55 Elizabeth Milano (Integrative Biology)
The genetics of divergence between upland and lowland ecotypes of Panicum virgatum

02:10 Matthew Cowperthwaite (Texas Advanced Computing Center)
An eQTL analysis of the human glioblastoma multiforme genome.

02:35 Poster session (with coffee and refreshments)

05:00 Announcement of poster awards; closing remarks: Scott Hunicke-Smith (Genome Sequencing and Analysis Facility)

*Lunch Breakout Sessions:
Big Data in Undergraduate Teaching: PHR 2.110
Dr. Claus Wilke (Integrative Biology), Dr. Andy Ellington (Molecular Biosciences), Dr. Erin Dollan (Freshman Research Initiative)
Big Data in Medicine: WEL 2.122
Dr. Robert Messing (Vice Provost for Biomedical Sciences), Dr. Matthew Cowperthwaite (Texas Advanced Computing Center), Dr. Peter Mueller (Statistics and Data Sciences), Dr. Bill Rice (St. David's Heath Care)
Industry Career Panel: MMB 1.210
Scott Hunicke-Smith (Director, Genome Sequencing and Analysis Facility), William Honea (T-Systems North America), Dr. Krista Ternus (Signature Science), Dr. Dennis Wylie (Asuragen)

If you have any questions regarding this year's symposium, please contact Nicole Elmer.


Big Data in Biology Poster Session.


Keynote speaker, Nathan Price, from the 2013 symposium.





The vision of the CCBB is to provide an exciting intellectual environment, an excellent bioinformatics consulting group, an advanced computing infrastructure, and training opportunities in computational approaches to the fundamental questions of modern biology.

Given advances in sequencing technology, imaging, and remote sensing, we are faced with many opportunities for "Big Data Biology" in genomics, evolution, neuroscience, environmental science, etc. Yet at the same time challenges remain to be overcome if we want to gain insight and knowledge from vast amounts of information.

Join us as we work for our vision to become reality! As much of our research is at the leading edge of science, opportunities in Big Data Biology are simply impossible without your support for seed grants, professorships, and student/postdoctoral fellowships. This allows us to sustain activities not supported by University funds or grant monies.