ARKANSAS BIOINFORMATICS CONSORTIUM (AR-BIC)
2018 – 4th Annual Meeting

Embassy Suites, Little Rock, AR
April 23-24, 2018

Tentative Program

Day 1:  Monday, April 23rd, 2018

12:00 pm - 4:00 pm

Registration

2:00 pm – 4:00 pm

Workshop by TriNetx (Fred Prior) or SAS (Weida Tong)

4:00 pm – 4:30 pm

Poster set-up; Reception open

4:30 pm – 7:30 pm

Poster and Reception

Day 2: Tuesday, April 24th, 2018

7:30 am – 8:00 am

Registration

8:00 am – 8:30 am

Opening Remarks (Drs. Bill Slikker and Stephanie Gardner)

8:30 am – 10:00 am

Session 1: Data Analytics for Life Science Data

Session chairs: Drs. Don Johann and David Ussery (UAMS)

 

Genomics or metagenomics, Don Johann (UAMS) and Doug Rhoads (UA)

 

Weida Tong (NCTR): Drug Repurposing

 

Mary Yang (UA Little Rock): RNA-seq

 

Cesar Compadre (UAMS): From in silico design to commercialization

10:00 am – 10:30 am

Break

10:30 am – 12:00 pm

Session 2 - Data Analytics for Health Data

Session chairs: Drs. Meredith Zozus and Fred Prior (UAMS)

12:00 pm – 1:00 pm

Break

1:00 pm – 2:30 pm

Session 3 - Data Analytics for Textual Data

Session chairs: Drs. Weida Tong (NCTR) Mary Yang (UA Little Rock)

 

Dan Berleant (UA Little Rock)

 

Roger Perkins, Wen Zou or Joe Meehan (NCTR)

 

Susan E. Gauch (UA)

2:30 pm – 3:00 pm

Break

3:00 pm – 4:30 pm

Session 4 - Data Analytics for Corporate data

Session chairs: Dr. John Talburt (UA Little Rock) and Jerry Adams (ARA)

REGISTER HERE

There is no registration fee; however, registration is required for attendance. Registration deadline 4-11-18













Click the button below to submit an abstract. The deadline for submitting abstracts is Friday, March 30, 2018. English language and in Word format only. Full submission guidelines can be downloaded here.

The following is the requirement of the AR-BIC grant and will not be released for commercial purposes.




About the Arkansas Bioinformatics Consortium (AR-BIC)

Mission:

The Arkansas Bioinformatics Consortium (AR-BIC) is a virtual Arkansas-centric bioinformatics community aimed at developing, leveraging and enhancing state-wide collaboration, thus forming a stable environment available to support the Arkansas-wide research, education, training and entrepreneurial/industrial activities in life sciences-related computing. AR-BIC activities are within the general area of life sciences computing in Arkansas.

Goals of AR-BIC

  1. Strengthen Arkansas’ ability to compete at national and international levels for research funding.
  2. Enable and facilitate collaboration in research where synergy is identified.
  3. Enhance education, training and university curricula.
  4. Expand Arkansas economic growth and job opportunities.

AR-BIC is founded on the belief that we can be more than the sum of our parts, and that in our unity, we can draw strength from our diversity. Through synergy, a true critical mass of capability can be assembled to take on large challenges in public health.

*Funding for this meeting was made possible, in part, by the Food and Drug Administration through grant 5R13FD005304, views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services; nor does any mention of trade names, commercial practices, or organization imply endorsement by the United States Government.