The Cancer Informatics Core was established to meet the growing needs for informatics and computational support for high throughput biomedical research at a systems biology level. The goal of this core is to facilitate biomedical and translational research at Moffitt by providing methods and tools to record, integrate, manage, analyze and visualize various biomedical, behavioral and clinical data, as well as analyzing data, and deploying caBIG tools to share results with the cancer research community. Services provided include consultation, data mining, data integration, data analysis, database development, web application development, computational tool development, and user training. Such services penetrate the whole process of research projects: initial consultation and data mining that assists in the formation of research hypotheses and preparation of grant application; assisting with experimental design; developing informatics tools to collect and manage heterogeneous data; integrating laboratory data with clinical, behavioral and biological data; performing data analysis and manuscript preparation. The core supports other core facilities by developing databases and tools for computation, visualization and annotation of experimental data. The third type of services involves implementing caBlG infrastructure and application tools so that researchers can share data readily with other cancer centers that implemented the same informatics infrastructure. Training investigators to use informatics and computational tools is also a key service. Since the last review, the core has undergone significant growth under new leadership and has supported numerous research projects for faculty in basic biomedical research, drug discovery, population science and experimental therapeutics. The core also enhanced or developed many tools for searching, analyzing or visualizing proteomics data for the Proteomics Core, and implemented computational pipelines for microarray data processing and quality control for the Molecular Genomics Core. Applications within the caBIG toolset, including caArray, caTissue, caGWAS and GenePattern, have been installed. The Core requests CCSG Support of $291,002, which is 12% of its operational budget. 90% of usage has supported Moffitt members with the remaining 10% for development of infrastructure and development for other cores.

Public Health Relevance

The Cancer Informatics Core plays a critical role in the research activities of Moffitt investigators. With the advancement and adoption of high-throughput technologies in increasingly complex biomedical research, biomedical informatics support is essential. Dedicated and ad hoc consultations have been conducted for faculty members preparing grant proposals. Such early involvement helps investigators form clear hypotheses, design cost-effective experiments, and plan complex data management and analysis strategies

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-17
Application #
8815021
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2016-01-31
Budget Start
2015-02-01
Budget End
2016-01-31
Support Year
17
Fiscal Year
2015
Total Cost
$187,219
Indirect Cost
$76,110
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Gonzalez, Brian D; Hoogland, Aasha I; Kasting, Monica L et al. (2018) Psychosocial impact of BRCA testing in young Black breast cancer survivors. Psychooncology 27:2778-2785
Akuffo, Afua A; Alontaga, Aileen Y; Metcalf, Rainer et al. (2018) Ligand-mediated protein degradation reveals functional conservation among sequence variants of the CUL4-type E3 ligase substrate receptor cereblon. J Biol Chem 293:6187-6200
Mahajan, Nupam P; Coppola, Domenico; Kim, Jongphil et al. (2018) Blockade of ACK1/TNK2 To Squelch the Survival of Prostate Cancer Stem-like Cells. Sci Rep 8:1954
Rounbehler, Robert J; Berglund, Anders E; Gerke, Travis et al. (2018) Tristetraprolin Is a Prognostic Biomarker for Poor Outcomes among Patients with Low-Grade Prostate Cancer. Cancer Epidemiol Biomarkers Prev 27:1376-1383
Christy, Shannon M; Schmidt, Alyssa; Wang, Hsiao-Lan et al. (2018) Understanding Cancer Worry Among Patients in a Community Clinic-Based Colorectal Cancer Screening Intervention Study. Nurs Res 67:275-285
Chang, James M; Kosiorek, Heidi E; Dueck, Amylou C et al. (2018) Stratifying SLN incidence in intermediate thickness melanoma patients. Am J Surg 215:699-706
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Sun, X; Ren, Y; Gunawan, S et al. (2018) Selective inhibition of leukemia-associated SHP2E69K mutant by the allosteric SHP2 inhibitor SHP099. Leukemia 32:1246-1249
Porubsky, Caitlin; Teer, Jamie K; Zhang, Yonghong et al. (2018) Genomic analysis of a case of agminated Spitz nevi and congenital-pattern nevi arising in extensive nevus spilus. J Cutan Pathol 45:180-183
Zhu, Genyuan; Nemoto, Satoshi; Mailloux, Adam W et al. (2018) Induction of Tertiary Lymphoid Structures With Antitumor Function by a Lymph Node-Derived Stromal Cell Line. Front Immunol 9:1609

Showing the most recent 10 out of 1254 publications