The Cancer Center's Computational Sciences (CS) group leverages the power of interdisciplinary thinking by partnering theorists, experimentalists and software engineers in a cooperative atmosphere accessible to experimentalists. Through CS, Cancer Center members apply advanced computational techniques to discover the hidden order in complex data sets and to decipher the languages of biology. CS is dedicated to the development and implementation of algorithms, and the application of visualization tools, relational databases and high-performance computing facilities to the understanding of complex biological processes. The operation comprises six functional service delivery areas;Applications Development (APRS), Statistics &Analysis (SA), High Performance Computing (HPC), Colony Management Systems (CMS) and Cancer Bioinformatics Grid (caBIG) which are all supported by the Software Quality Assurance (SQA) group. All CS functional groups access the same support tools including a dedicated Work Management System and associated process standards, including Software Configuration Management and Software Development Life Cycle practices. Through CS, Cancer Center members access discovery tools and compute systems they would otherwise struggle to employ. The Integrated Services Information System, supporting process and data management functions across the Scientific Services, was developed and is maintained by CS. A diverse consortium of biologists, statisticians, mathematicians, computer scientists and database specialists are essential to this effort. CS, which occupies 1,044 ft2 of interactive space in Research Laboratory Unit 4 and Building 46, employs six software engineers, one software configuration management engineer, one high-performance computing specialist, and a caBIG liaison all managed by a Senior Software Engineer as well as three biostatistician/bioinformaticists and analysts reporting to a bioinformaticist manager. Co-Project Leaders Drs. Carol Bult and Gary Churchill oversee this operation which has grown from its inception in 1999 from one full time employee (FTE) to a department of 14 FTEs in 2005. Drs. Bult and Churchill communicate with the Cancer Center users and Service staff to ensure that research needs are met in the most efficient, cost-effective and technically current manner.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA034196-28
Application #
8288282
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
28
Fiscal Year
2011
Total Cost
$327,140
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Sharma, Manju; Braun, Robert E (2018) Cyclical expression of GDNF is required for spermatogonial stem cell homeostasis. Development 145:
Shi, Jiayuan; Hua, Li; Harmer, Danielle et al. (2018) Cre Driver Mice Targeting Macrophages. Methods Mol Biol 1784:263-275
Hosur, Vishnu; Farley, Michelle L; Low, Benjamin E et al. (2018) RHBDF2-Regulated Growth Factor Signaling in a Rare Human Disease, Tylosis With Esophageal Cancer: What Can We Learn From Murine Models? Front Genet 9:233
Johnson, Kenneth R; Gagnon, Leona H; Tian, Cong et al. (2018) Deletion of a Long-Range Dlx5 Enhancer Disrupts Inner Ear Development in Mice. Genetics 208:1165-1179
Dominguez, Pilar M; Ghamlouch, Hussein; Rosikiewicz, Wojciech et al. (2018) TET2 Deficiency Causes Germinal Center Hyperplasia, Impairs Plasma Cell Differentiation, and Promotes B-cell Lymphomagenesis. Cancer Discov 8:1632-1653
Paigen, Kenneth; Petkov, Petko M (2018) PRDM9 and Its Role in Genetic Recombination. Trends Genet 34:291-300
Schloss, Jennifer; Ali, Riyasat; Racine, Jeremy J et al. (2018) HLA-B*39:06 Efficiently Mediates Type 1 Diabetes in a Mouse Model Incorporating Reduced Thymic Insulin Expression. J Immunol 200:3353-3363
Nakatsuji, Teruaki; Chen, Tiffany H; Butcher, Anna M et al. (2018) A commensal strain of Staphylococcus epidermidis protects against skin neoplasia. Sci Adv 4:eaao4502
Racine, Jeremy J; Stewart, Isabel; Ratiu, Jeremy et al. (2018) Improved Murine MHC-Deficient HLA Transgenic NOD Mouse Models for Type 1 Diabetes Therapy Development. Diabetes 67:923-935
Ye, Fengdan; Jia, Dongya; Lu, Mingyang et al. (2018) Modularity of the metabolic gene network as a prognostic biomarker for hepatocellular carcinoma. Oncotarget 9:15015-15026

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