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 #
5P30CA044579-30
Application #
10091430
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-09-16
Project End
2022-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
30
Fiscal Year
2021
Total Cost
Indirect Cost
Name
University of Virginia
Department
Type
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
Knapp, Kiley A; Pires, Eusebio S; Adair, Sara J et al. (2018) Evaluation of SAS1B as a target for antibody-drug conjugate therapy in the treatment of pancreatic cancer. Oncotarget 9:8972-8984
Kedzierska, Katarzyna Z; Gerber, Livia; Cagnazzi, Daniele et al. (2018) SONiCS: PCR stutter noise correction in genome-scale microsatellites. Bioinformatics 34:4115-4117
Zhang, Xuewei; Kitatani, Kazuyuki; Toyoshima, Masafumi et al. (2018) Ceramide Nanoliposomes as a MLKL-Dependent, Necroptosis-Inducing, Chemotherapeutic Reagent in Ovarian Cancer. Mol Cancer Ther 17:50-59
Cruickshanks, Nichola; Zhang, Ying; Hine, Sarah et al. (2018) Discovery and Therapeutic Exploitation of Mechanisms of Resistance to MET Inhibitors in Glioblastoma. Clin Cancer Res :
Balogh, Kristen N; Templeton, Dennis J; Cross, Janet V (2018) Macrophage Migration Inhibitory Factor protects cancer cells from immunogenic cell death and impairs anti-tumor immune responses. PLoS One 13:e0197702
Gonzalez, Phillippe P; Kim, Jungeun; Galvao, Rui Pedro et al. (2018) p53 and NF 1 loss plays distinct but complementary roles in glioma initiation and progression. Glia 66:999-1015
Rodriguez, Anthony B; Peske, J David; Engelhard, Victor H (2018) Identification and Characterization of Tertiary Lymphoid Structures in Murine Melanoma. Methods Mol Biol 1845:241-257
Stowman, Anne M; Hickman, Alexandra W; Mauldin, Ileana S et al. (2018) Lymphoid aggregates in desmoplastic melanoma have features of tertiary lymphoid structures. Melanoma Res 28:237-245
Melhuish, Tiffany A; Kowalczyk, Izabela; Manukyan, Arkadi et al. (2018) Myt1 and Myt1l transcription factors limit proliferation in GBM cells by repressing YAP1 expression. Biochim Biophys Acta Gene Regul Mech 1861:983-995
Kulling, Paige M; Olson, Kristine C; Olson, Thomas L et al. (2018) Calcitriol-mediated reduction in IFN-? output in T cell large granular lymphocytic leukemia requires vitamin D receptor upregulation. J Steroid Biochem Mol Biol 177:140-148

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