BIOINFORMATICS CORE Increasingly, the fields of medicine and biological sciences produce large quantities of complex data that requires analysis by new statistical and computational approaches. The overall goal of the Arkansas INBRE Bioinformatics Core is to build bioinformatics research capabilities through education, training, and enhanced access to state-of-the-art computational infrastructure and tool sets. The Bioinformatics Core will continue to address the national need for bioinformaticians through ongoing support and development of bioinformatics educational programs at both the undergraduate and graduate levels. The Bioinformatics Core will provide critical support in the development of fundamental infrastructure that includes hardware, software, and intellectual resources that will foster new computational methodologies. Finally, the Bioinformatics Core will provide training for biomedical researchers, educators, and students at Arkansas INBRE network institutions to use bioinformatics resources to conduct biomedical research and enrich undergraduate science curriculum.

Public Health Relevance

Modern biology and biomedicine are quantitative sciences requiring terabytes of measurements that cannot be processed without help from bioinformatics. Bioinformatics develops new methodologies and uses well-established statistical and computational approaches to formulate testable hypotheses, interpret the experimental results, and uncover biological knowledge hidden in the sea of data. The Bioinformatics Core of the Arkansas INBRE will support further biomedical advances and their translation to improve human health by continuing to build research capabilities through education, training, and enhanced access to state-of- the-art computational infrastructure, and by fostering collaboration.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
2P20GM103429-14
Application #
8900006
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2015-05-01
Budget End
2016-04-30
Support Year
14
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of Arkansas for Medical Sciences
Department
Type
DUNS #
122452563
City
Little Rock
State
AR
Country
United States
Zip Code
72205
Zeng, Jie; Xie, Shuanshuan; Liu, Yang et al. (2018) CDK5 Functions as a Tumor Promoter in Human Lung Cancer. J Cancer 9:3950-3961
Kore, Rajshekhar A; Edmondson, Jacob L; Jenkins, Samir V et al. (2018) Hypoxia-derived exosomes induce putative altered pathways in biosynthesis and ion regulatory channels in glioblastoma cells. Biochem Biophys Rep 14:104-113
Johann Jr, Donald J; Steliga, Mathew; Shin, Ik J et al. (2018) Liquid biopsy and its role in an advanced clinical trial for lung cancer. Exp Biol Med (Maywood) 243:262-271
Byrum, Stephanie D; Loughran, Allister J; Beenken, Karen E et al. (2018) Label-Free Proteomic Approach to Characterize Protease-Dependent and -Independent Effects of sarA Inactivation on the Staphylococcus aureus Exoproteome. J Proteome Res 17:3384-3395
Mao, Xiao W; Byrum, Stephanie; Nishiyama, Nina C et al. (2018) Impact of Spaceflight and Artificial Gravity on the Mouse Retina: Biochemical and Proteomic Analysis. Int J Mol Sci 19:
Caviness, Perry; Bauer, Ryan; Tanaka, Keisuke et al. (2018) Ca2+ -induced orientation of tandem collagen binding domains from clostridial collagenase ColG permits two opposing functions of collagen fibril formation and retardation. FEBS J 285:3254-3269
Cogill, Steven B; Srivastava, Anand K; Yang, Mary Qu et al. (2018) Co-expression of long non-coding RNAs and autism risk genes in the developing human brain. BMC Syst Biol 12:91
Zhang, Xin; Zhang, Suping; Liu, Xingui et al. (2018) Oxidation resistance 1 is a novel senolytic target. Aging Cell :e12780
Causey, Jason L; Ashby, Cody; Walker, Karl et al. (2018) DNAp: A Pipeline for DNA-seq Data Analysis. Sci Rep 8:6793
Causey, Jason L; Zhang, Junyu; Ma, Shiqian et al. (2018) Highly accurate model for prediction of lung nodule malignancy with CT scans. Sci Rep 8:9286

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