This proposal describes plans for expansion of the Arkansas BRIN. The long-term goals of the Arkansas BRIN are to build biomedical research capacity in Arkansas; increase the number of faculty with extramurally funded biomedical research programs; and stimulate undergraduate students to pursue graduate studies in biomedical science. The Arkansas BRIN network currently consists of three lead institutions, the University of Arkansas for Medical Sciences (UAMS), the University of Arkansas at Little Rock (UALR), and the University of Arkansas (UAF), which form the research core of the Arkansas BRIN; and six primarily undergraduate institutions located throughout Arkansas. Activities of the Arkansas BRIN are built around four cores. The Administrative Core coordinates all activities of the Arkansas BRIN. The Bioinformatics Core is a developing statewide education, research and service resource to provide investigators with access to computational tools for multidisciplinary biomedical research and to train students in bioinformatics. The Biotechnology Core (BC) consists of three facilities, genomics, proteomics and digital microscopy, offering instrumentation and technical assistance to BRIN investigators. The Recruitment and Mentoring Core supports recruitment and development of undergraduate faculty to create research partnerships with experienced investigators at the lead institutions, and funds summer research experiences for undergraduate students. With supplement funds, the Arkansas BRIN gives the highest priority to expanding research capacities of undergraduate institutions. This will be done by supporting additional mentored research projects for undergraduate faculty and students during the summer, providing continued support during the academic year for collaborative projects initiated during the summer, providing funds for key equipment to enable undergraduate faculty to conduct collaborative projects at their home institution, and providing undergraduate faculty access to assistance with grant applications. Priority will also be given to the three BC facilities used by BRIN-funded summer projects, including support for equipment, supplies and technician salaries, to insure that BRIN investigators receive high priority in access to core services. Bioinformatics remains a critically important component of the Arkansas BRIN and additional funds are requested to accelerate development of the bioinformatics training program.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
3P20RR016460-02S1
Application #
6587919
Study Section
Special Emphasis Panel (ZRR1-RI-8 (01))
Program Officer
Douthard, Regine
Project Start
2002-09-30
Project End
2004-09-29
Budget Start
2002-09-30
Budget End
2003-09-29
Support Year
2
Fiscal Year
2002
Total Cost
$1,263,838
Indirect Cost
Name
University of Arkansas for Medical Sciences
Department
Physiology
Type
Schools of Medicine
DUNS #
City
Little Rock
State
AR
Country
United States
Zip Code
72205
Doyle, Erin L; Fillman, Christy L; Reyna, Nathan S et al. (2018) Genome Sequences of Four Cluster P Mycobacteriophages. Genome Announc 6:
McSweeney, Jean C; Hudson, Teresa J; Prince, Latrina et al. (2018) Impact of the INBRE summer student mentored research program on undergraduate students in Arkansas. Adv Physiol Educ 42:123-129
Wolyniak, Michael J; Reyna, Nathan S; Plymale, Ruth et al. (2018) Mass Spectrometry as a Tool to Enhance ""-omics"" Education. J Microbiol Biol Educ 19:
Musa, Aliyu; Ghoraie, Laleh Soltan; Zhang, Shu-Dong et al. (2018) A review of connectivity map and computational approaches in pharmacogenomics. Brief Bioinform 19:506-523
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
Gao, Bo; Li, Guojun; Liu, Juntao et al. (2017) Identification of driver modules in pan-cancer via coordinating coverage and exclusivity. Oncotarget 8:36115-36126
Rahmatallah, Yasir; Zybailov, Boris; Emmert-Streib, Frank et al. (2017) GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinformatics 18:61
Tarrant, K J; Dey, S; Kinney, R et al. (2017) Multi-generational genome wide association studies identify chromosomal regions associated with ascites phenotype. Poult Sci 96:1544-1552
Wren, Jonathan D; Dozmorov, Mikhail G; Toby, Inimary et al. (2017) Proceedings of the 2017 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinformatics 18:498
Glazko, Galina; Rahmatallah, Yasir; Zybailov, Boris et al. (2017) Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond. Methods Mol Biol 1613:125-159

Showing the most recent 10 out of 234 publications