Under the direction of Dr. Mathias Brochhausen, the Biomedical Ontologies Arkansas (BOAR) mission is to improve the gathering, managing, transforming and sharing of biomedical data. Biomedical Data is data created to better understand health, disease, and their biological foundations. Biomedical Ontologies are integral in integrating and interpreting the biomedical data.
The Arkansas Bioinformatics Consortium Conference AR-BIC 2017
2017 Meeting Theme: Microbiome and Biomedical Informatics We Are an Arkansas Collaborative Community in Bioinformatics Research AR-BIC Third Annual Conference – April 24-25, 2017 at the Embassy Suites, Little Rock, AR Conference organized by: Arkansas Research Alliance, National Center for Toxicological Research and the Arkansas Bioinformatics Consortium For more information, go to: http://www.arkansasbioinformatics.org/
April 14 is Bioinformatics Discovery Day at UALR
Thanks to support from the Arkansas IDeA Networks of Biomedical Research Excellence Grant (NIGMS (P20 GM103429) at NIH), UALR is pleased to host its first ever UALR Bioinformatics Discovery Day on April 14, 2017 at the Donaghey Student Center on the UA Little Rock Campus. Bioinformatics is an interdisciplinary science that combines life sciences, computer/information […]
Insights from Comparative Genomics of the Genus Salmonella
Submitted: May 5th 2016 | Reviewed: December 1st 2016 | Published: April 5th 2017 | DOI: 10.5772/67131 Trudy M. Wassenaar, Se-Ran Jun, Visanu Wanchai, Preecha Patumcharoenpol, Intawat Nookaew, Katrina Schlum, Michael R. Leuze and David W. Ussery Abstract Comparative genomics have become a standard approach to gain insights into the inter – relationships of microorganisms. […]
Host diabetes status is the major regulator of gut microbiome in the UCD-T2DM Rat
The FASEB Journal 31 (1 Supplement), 138.1-138.1(2017) Brian Piccolo, James Graham, Umesh Wankhade, Intawat Nookaew, Kartik Shankar, Peter Havel, Sean Adams Abstract There is strong evidence in humans and in animal models that the gut microbiome is altered in obesity and/or the insulin resistant condition. Poor metabolic health is often linked to overnutrition and poor-quality […]
UAMS Chancellor’s Circle Awards Grants to 12 Programs
Chancellor Dan Rahn, M.D., awarded 12 UAMS programs a total of $360,000 at the annual Chancellor’s Circle Grant Awards ceremony and reception March 9. This year’s awards again set a record for the most funds distributed, said Rahn. Each of the 12 programs received a $30,000 grant. Members of the Chancellor’s Circle provide roughly $400,000 […]
David W. Ussery, Ph.D., Invested in Inaugural Helen Adams & Arkansas Research Alliance Endowed Chair in Bioinformatics
David W. Ussery, Ph.D., director of the Arkansas Center for Genomic and Epidemiology and Medicine at the University of Arkansas for Medical Sciences (UAMS), was invested Feb. 21 as the inaugural recipient of the Helen Adams & Arkansas Research Alliance (ARA) Endowed Chair in Biomedical Informatics. Ussery, who has worked with bacterial genomics since 1995, joined […]
Bi-allelic inactivation is more prevalent at relapse in multiple myeloma, identifying RB1 as an independent prognostic marker
Received: 27 December 2016 | Accepted: 13 January 2017 | Published: 24 February 2017 | DOI: https://doi.org/10.1038/bcj.2017.12 Chavan SS, He J, Tytarenko R, Deshpande S, Patel P, Bailey M, Stein CK, Stephens O, Weinhold N, Petty N, Stewart D, Rasche L, Bauer M, Ashby C, Peterson EA, Ali S, Ross J, Miller VA, Stephens P, […]
GSAR: Bioconductor package for Gene Set analysis in R
BMC Bioinformatics BMC series | DOI: https://doi.org/10.1186/s12859-017-1482-6 Yasir Rahmatallah, Boris Zybailov, Frank Emmert-Streib, Galina Glazko Abstract Gene set analysis (in a form of functionally related genes or pathways) has become the method of choice for analyzing omics data in general and gene expression data in particular. There are many statistical methods that either summarize gene-level […]
Viral Phylogenomics Using an Alignment-Free Method: A Three-Step Approach to Determine Optimal Length of k-mer
Sci Rep. 2017 Jan 19;7:40712. doi: 10.1038/srep40712. PubMed PMID: 28102365; PubMed Central PMCID: PMC5244389 Qian Zhang, Se-Ran Jun, Michael Leuze, David Ussery & Intawat Nookaew Abstract The development of rapid, economical genome sequencing has shed new light on the classification of viruses. As of October 2016, the National Center for Biotechnology Information (NCBI) database contained […]