The Bioinformatics Core (BIC) will provide the hardware, software, and critical human expertise infrastructure necessary to manage, integrate, analyze, interpret, and disseminate data produced by Cancer Center investigators, and will provide much-needed bioinformatics and quantitative training in critically high demand among Cancer Center members. The BIC is staffed by experts who have years of collective experience in managing and analyzing large-scale, high-throughput biological data. The very nature of cancer research is evolving, driven by the ease and plummeting costs of generating vast amounts of sequence, expression, structure, and biochemical data. Extracting the most biological meaning from these data will require sophisticated bioinformatics expertise that most individual labs do not possess. Further, the size and complexity of these data requires robust data management planning, and funding agencies often require permanent archival and rapid public dissemination of high-throughput data to the broader cancer research community. Additionally, as cancer research continues to become more data-intensive, researchers often lack the bioinformatics and quantitative training that is increasingly essential. The BIC fills all of these gaps and will serve an absolutely essential role in the immediate and long-term realization of the Cancer Center's research mission.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA044579-29
Application #
9854912
Study Section
Subcommittee H - Clinical Groups (NCI)
Project Start
Project End
Budget Start
2020-02-01
Budget End
2021-01-31
Support Year
29
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Virginia
Department
Type
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
Borten, Michael A; Bajikar, Sameer S; Sasaki, Nobuo et al. (2018) Automated brightfield morphometry of 3D organoid populations by OrganoSeg. Sci Rep 8:5319
Olson, Kristine C; Kulling Larkin, Paige M; Signorelli, Rossana et al. (2018) Vitamin D pathway activation selectively deactivates signal transducer and activator of transcription (STAT) proteins and inflammatory cytokine production in natural killer leukemic large granular lymphocytes. Cytokine 111:551-562
Pfister, Katherine; Pipka, Justyna L; Chiang, Colby et al. (2018) Identification of Drivers of Aneuploidy in Breast Tumors. Cell Rep 23:2758-2769
Carhart, Miev Y; Schminkey, Donna L; Mitchell, Emma M et al. (2018) Barriers and Facilitators to Improving Virginia's HPV Vaccination Rate: A Stakeholder Analysis With Implications for Pediatric Nurses. J Pediatr Nurs 42:1-8
Hao, Yi; Bjerke, Glen A; Pietrzak, Karolina et al. (2018) TGF? signaling limits lineage plasticity in prostate cancer. PLoS Genet 14:e1007409
Obeid, Joseph M; Kunk, Paul R; Zaydfudim, Victor M et al. (2018) Immunotherapy for hepatocellular carcinoma patients: is it ready for prime time? Cancer Immunol Immunother 67:161-174
Wallrabe, Horst; Svindrych, Zdenek; Alam, Shagufta R et al. (2018) Segmented cell analyses to measure redox states of autofluorescent NAD(P)H, FAD & Trp in cancer cells by FLIM. Sci Rep 8:79
Olmez, Inan; Love, Shawn; Xiao, Aizhen et al. (2018) Targeting the mesenchymal subtype in glioblastoma and other cancers via inhibition of diacylglycerol kinase alpha. Neuro Oncol 20:192-202
Wang, T Tiffany; Yang, Jun; Zhang, Yong et al. (2018) IL-2 and IL-15 blockade by BNZ-1, an inhibitor of selective ?-chain cytokines, decreases leukemic T-cell viability. Leukemia :
Yao, Nengliang; Zhu, Xi; Dow, Alan et al. (2018) An exploratory study of networks constructed using access data from an electronic health record. J Interprof Care :1-8

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