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

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

Data Analytics – Genomics and Beyond

REGISTER HERE

There is no registration fee; however, registration is required for attendance. Registration deadline 4-20-18

Program

Download Program as PDF

Day 1:  Monday, April 23rd, 2018

12:00 pm - 4:00 pm

Registration and Poster set up

2:00 pm – 4:00 pm

Workshop by TriNetX
TriNetX provides an application that interfaces to a clinical data warehouse either directly or via i2b2 and presents users the ability to identify cohorts for future clinical trials and human subjects research. TriNetX also is a network of academic medical centers and pharma companies who collaborate on clinical trials.

4:00 pm – 4:30 pm

Break

4:30 pm – 7:30 pm

Poster and Reception

Day 2: Tuesday, April 24th, 2018

7:00 am – 8:00 am

Registration and Breakfast

8:00 am – 8:15 am

Opening Remarks and Welcome

  • Jerry B. Adams
    President/CEO, Arkansas Research Alliance, Conway, AR
  • Stephanie Gardner, Pharm.D., Ed.D.
    Interim Chancellor, University of Arkansas for Medical Sciences, Little Rock, AR

8:15 am – 11:45 am

Session 1: Data Analytics for Genomics

Session Co-Chairs

  • David W. Ussery, Ph.D., Professor, Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR
  • Fred Prior, Ph.D., Professor and Chair, Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR

8:15 am – 8:45 am

MG-RAST, a Metagenomics Service for Analysis of Microbial Community Structure and Function
Folker Meyer, Ph.D.,
Argonne National Laboratory, University of Chicago, Argonne, IL

8:45 am – 9:15 am

What is Life? Five-hundred Functional Domains Found in All Genomes Across the Tree of Life
David W. Ussery, Ph.D., Professor, Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR

9:15 am – 9:45 am

Whole genome resequencing for mapping the genetics of hypertension in broilers
Douglas Duane Rhoads, Ph.D., Professor, Department of Biological Sciences, University of Arkansas, Fayetteville, AR

9:45 am – 10:15 am

Break

10:15 am – 10:45 am

Precision Medicine Clinical Trials and the Role of Liquid Biopsies
Donald Johann, Jr, M.D., Associate Professor, Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR

10:45 am – 11:15 am

Integrative Analysis Identifies Potential DNA Methylation Biomarkers for Pan-Cancer Diagnosis and Prognosis
Tieliu Shi, Ph.D., East China Normal University, Shanghai, China

11:15 am – 11:45 am

RNA-seq and its Applications in Lung Cancer
Mary Yang, Ph.D., Associate Professor, University of Arkansas at Little Rock, Little Rock, AR

11:45 am – 1:00 pm

Lunch

1:00 pm – 5:00 pm

Session 2 – Data Analytics Beyond Genomics

Session Co-Chairs

  • Weida Tong, Ph.D., Director, Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US FDA, Jefferson, AR
  • John R. Talburt, Ph.D., Professor, University of Arkansas at Little Rock, Little Rock, AR

1:00 pm – 1:30 pm

Establishing an Enterprise Information Management
Zak Joundi, Director of Forward Markets, MISO Energy

1:30 pm – 2:00 pm

Disruptive Technology and Business Model Trends
Gary Dowdy, B.S., MBA, Head of Innovation and Disruptive Technology, J. B. Hunt

2:00 pm – 2:30 pm

Beyond connecting the dots: network clustering algorithms and their applications
Xiaowei Xu, Ph.D., Professor, University of Arkansas at Little Rock, Little Rock, AR

2:30 pm – 3:00 pm

Break

3:00 pm – 3:30 pm

Real World Text Mining at FDA/NCTR
Joe Meehan , Ph.D., Computer Scientist, Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US FDA, Jefferson, AR

3:30 pm – 4:00 pm

Natural Language Processing – Techniques and Applications to Bioinformatics
Susan E. Gauch, Ph.D., Professor, Department of Biological Sciences, University of Arkansas, Fayetteville, AR

4:00 pm – 4:30 pm

From in silico Drug Design And Discovery to Commercialization
Cesar Compadre, Ph.D., Professor, University of Arkansas for Medical Sciences, Little Rock, AR

4:30 pm – 5:00 pm

Regulatory Applications of Quantitative Structure Activity Relationship (QSAR)
Weida Tong, Ph.D., Director, Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US FDA, Jefferson, AR

5:00 pm – 5:10 pm

Closing Remarks
Weida Tong, Ph.D., Director, Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US FDA, Jefferson, AR













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.