The Bioinformatics and Supercomputing Shared Resource provides professional expertise in the development and application of high-performance computing and data mining methods for VICC projects, investigators, and participants. Functions provided by this Shared Resource include development and application of data mining algorithms for the analysis of genetic, genomic, and proteomic data that rely heavily on high-performance computing. Additional functions include interpretation of findings and collaboration on presentation of results. As a new Shared Resource, Bioinformatics and Supercomputing offers three primary services to VICC investigators: computationally-intensive simulations for power and sample size analysis; development and application of data mining algorithms, especially for genetics, genomics, and proteomics; and access to high-performance computing. This work is supported by tremendously powerful hardware and software: 270 Intel Xeon processors networked in parallel. Plans call for the Resource to grow to 2,000 processors in the next five years. Dr. Jason Moore is responsible for the daily operations of the Bioinformatics and Supercomputing Shared Resource. He and his staff work with investigators to make available the use of parallel computing hardware for computationally intensive simulations and data analysis. This Shared Resource has entered into a cluster arrangement with the Tissue/Clinical Informatics Shared Resource and Biostatistics Shared Resource, since the three interact so closely and use similar approaches and instruments.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA068485-13
Application #
7679674
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
13
Fiscal Year
2008
Total Cost
$234,400
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Type
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Petersen, Christine P; Meyer, Anne R; De Salvo, Carlo et al. (2018) A signalling cascade of IL-33 to IL-13 regulates metaplasia in the mouse stomach. Gut 67:805-817
Maacha, Selma; Hong, Jun; von Lersner, Ariana et al. (2018) AXL Mediates Esophageal Adenocarcinoma Cell Invasion through Regulation of Extracellular Acidification and Lysosome Trafficking. Neoplasia 20:1008-1022
Schulte, Michael L; Fu, Allie; Zhao, Ping et al. (2018) Pharmacological blockade of ASCT2-dependent glutamine transport leads to antitumor efficacy in preclinical models. Nat Med 24:194-202
Davenport, James R; Su, Timothy; Zhao, Zhiguo et al. (2018) Modifiable lifestyle factors associated with risk of sessile serrated polyps, conventional adenomas and hyperplastic polyps. Gut 67:456-465
Wang, Jing; Zhao, Yue; Zhou, Xiaofan et al. (2018) Nascent RNA sequencing analysis provides insights into enhancer-mediated gene regulation. BMC Genomics 19:633
Galligan, James J; Wepy, James A; Streeter, Matthew D et al. (2018) Methylglyoxal-derived posttranslational arginine modifications are abundant histone marks. Proc Natl Acad Sci U S A 115:9228-9233
Croessmann, Sarah; Sheehan, Jonathan H; Lee, Kyung-Min et al. (2018) PIK3CA C2 Domain Deletions Hyperactivate Phosphoinositide 3-kinase (PI3K), Generate Oncogene Dependence, and Are Exquisitely Sensitive to PI3K? Inhibitors. Clin Cancer Res 24:1426-1435
Pannala, Venkat R; Wall, Martha L; Estes, Shanea K et al. (2018) Metabolic network-based predictions of toxicant-induced metabolite changes in the laboratory rat. Sci Rep 8:11678
Zhao, Shilin; Li, Chung-I; Guo, Yan et al. (2018) RnaSeqSampleSize: real data based sample size estimation for RNA sequencing. BMC Bioinformatics 19:191
Laroumanie, Fanny; Korneva, Arina; Bersi, Matthew R et al. (2018) LNK deficiency promotes acute aortic dissection and rupture. JCI Insight 3:

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