The mission of the Bioinformatics Core is to provide bioinformatics support and training for investigators within the Vermont Genetics Network (VGN). The Core provides computational analysis of life sciences data for all investigators in the VGN network. Many experimental methods produce large data sets requiring the use of computational tools to fully analyze them. Modern instruments employed in research projects such as whole genome sequencing or cancer biomarker discovery produce protein, RNA and DNA data sets that are too large to be analyzed by most bench scientists. The Bioinformatics Core works with investigators and their students to provide analyses that help answer questions related to their experimental data. The Bioinformatics Core utilizes a large computer server coupled to a large data storage array for most bioinformatics work. The internal infrastructure yields a very cost effective solution for providing bioinformatics services. Internal controls are developed on a per project basis to ensure high quality results for all investigators. The Core provides experimental design, power analysis, and data analysis in genomics, transcriptomics and proteomics. Specifically, the Core assists users from VGN Baccalaureate Partner Institutions (BPI) and UVM, as well as others, in proteomics informatics, genomics and biostatistics analysis, functional analysis, software and database development, as well as training in bioinformatics and access to shared resources. The Administrative Core will assess performance and the Bioinformatics Core?s impact on the VGN mission. It will assist with implementation of best practices identified by the external evaluator, Dr. Joy Livingston, the Internal Steering Committee, the External Advisory Committee, and the AAAS Research Competitiveness Program consultants. The Bioinformatics Core provides a high level of expertise in bioinformatics, ensuring the support needed to design, conduct, analyze, interpret, and manage results requiring or facilitated by informatics applications. Continuing to provide these services to our BPIs and through the State of Vermont in INBRE 4 will promote a culture of research.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Exploratory Grants (P20)
Project #
2P20GM103449-19
Application #
9901281
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2020-06-01
Budget End
2021-05-31
Support Year
19
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Vermont & St Agric College
Department
Type
DUNS #
066811191
City
Burlington
State
VT
Country
United States
Zip Code
05405
Yuan, Joshua T; Gatti, Daniel M; Philip, Vivek M et al. (2018) Genome-wide association for testis weight in the diversity outbred mouse population. Mamm Genome 29:310-324
Schmoker, Anna M; Barritt, Samuel A; Weir, Marion E et al. (2018) Fyn Regulates Binding Partners of Cyclic-AMP Dependent Protein Kinase A. Proteomes 6:
Munson, Phillip; Lam, Ying-Wai; Dragon, Julie et al. (2018) Exosomes from asbestos-exposed cells modulate gene expression in mesothelial cells. FASEB J 32:4328-4342
Wagner, Benjamin A; Braddick, Valerie C; Batson, Christopher G et al. (2018) Effects of testosterone dose on spatial memory among castrated adult male rats. Psychoneuroendocrinology 89:120-130
Allen, David; Dick, Christopher W; Strayer, Ethan et al. (2018) Scale and strength oak-mesophyte interactions in a transitional oak-hickory forest. Can J For Res 48:1366-1372
Bontemps-Gallo, Sébastien; Gaviard, Charlotte; Richards, Crystal L et al. (2018) Global Profiling of Lysine Acetylation in Borrelia burgdorferi B31 Reveals Its Role in Central Metabolism. Front Microbiol 9:2036
Sheehe, Jessica L; Bonev, Adrian D; Schmoker, Anna M et al. (2018) Oxidation of cysteine 117 stimulates constitutive activation of the type I? cGMP-dependent protein kinase. J Biol Chem 293:16791-16802
Loisel, Dagan A; Troyer, Ryan M; VandeWoude, Sue (2018) High prevalence of Lynx rufus gammaherpesvirus 1 in wild Vermont bobcats. PeerJ 6:e4982
Munson, Phillip; Lam, Ying-Wai; MacPherson, Maximilian et al. (2018) Mouse serum exosomal proteomic signature in response to asbestos exposure. J Cell Biochem 119:6266-6273
Sladewski, Thomas E; Billington, Neil; Ali, M Yusuf et al. (2018) Recruitment of two dyneins to an mRNA-dependent Bicaudal D transport complex. Elife 7:

Showing the most recent 10 out of 168 publications