The Duke Cancer Institute Information Systems group (DCI IS) is a shared resource providing information systems to DCI members in support of clinical, translational, and basic biomedical research. The goal of the IS Resource is to provide comprehensive computational support to enable researchers to use technology in the most efficient manner possible to accomplish their research goals. It is closely integrated with DCI's Bioinformatics and Biostatistics Shared Resources. Since the last renewal of the Cancer Center Support Grant (CCSG), the IS Resource's compute environment has been completely refreshed, providing a 162% increase in processor cores, an 833% increase in memory and a 292% increase in primary storage. The virtualization platform has also been refreshed since the last renewal. DCI IS and its 13 staff members are organized into three teams: (1) the service desk/systems team, (2) the application development team, and (3) the database management team. All personnel are managed by Resource Director Jeffrey Allred under the administrative direction of the Chief Research Operations Officer for the DCI. Staff experience includes strong proficiency in clinical trial building and management, web, application and database development, and information technology infrastructure. Resource personnel provide systems management, network administration, database development/administration, and web/application development/support, plus server and desktop support for 90 servers and for approximately 1000 users in DCI member laboratories. DCI IS also provides support for large scale servers and software for the DCI's Biostatistics and Bioinformatics Shared Resources. These three DCI Shared Resources are co-located, making collaboration straightforward to meet DCI members' needs. The IS Shared Resource provides an integrated, accommodating, and harmonized IT environment that supports the highest quality standards in research at the DCI.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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Duke University
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Galaz-Montoya, Monica; Wright, Sara J; Rodriguez, Gustavo J et al. (2017) ?2-Adrenergic receptor activation mobilizes intracellular calcium via a non-canonical cAMP-independent signaling pathway. J Biol Chem 292:9967-9974
Lanier, Megan L; Park, Hyeri; Mukherjee, Paramita et al. (2017) Formal Synthesis of (+)-Laurencin by Gold(I)-Catalyzed Intramolecular Dehydrative Alkoxylation. Chemistry 23:7180-7184
Shi, Qiong; Liu, Hongliang; Han, Peng et al. (2017) Genetic Variants in WNT2B and BTRC Predict Melanoma Survival. J Invest Dermatol 137:1749-1756
Woyach, Jennifer A; Ruppert, Amy S; Guinn, Daphne et al. (2017) BTKC481S-Mediated Resistance to Ibrutinib in Chronic Lymphocytic Leukemia. J Clin Oncol 35:1437-1443
Wang, Yanru; Freedman, Jennifer A; Liu, Hongliang et al. (2017) Associations between RNA splicing regulatory variants of stemness-related genes and racial disparities in susceptibility to prostate cancer. Int J Cancer 141:731-743
Fayanju, Oluwadamilola M; Hall, Carolyn S; Bauldry, Jessica Bowman et al. (2017) Body mass index mediates the prognostic significance of circulating tumor cells in inflammatory breast cancer. Am J Surg 214:666-671
Leu, David; Spasojevic, Ivan; Nguyen, Huy et al. (2017) CNS bioavailability and radiation protection of normal hippocampal neurogenesis by a lipophilic Mn porphyrin-based superoxide dismutase mimic, MnTnBuOE-2-PyP5. Redox Biol 12:864-871
Sauer, Scott J; Tarpley, Michael; Shah, Imran et al. (2017) Bisphenol A activates EGFR and ERK promoting proliferation, tumor spheroid formation and resistance to EGFR pathway inhibition in estrogen receptor-negative inflammatory breast cancer cells. Carcinogenesis 38:252-260
Pan, Yongchu; Liu, Hongliang; Wang, Yanru et al. (2017) Associations between genetic variants in mRNA splicing-related genes and risk of lung cancer: a pathway-based analysis from published GWASs. Sci Rep 7:44634
Yin, Jieyun; Liu, Hongliang; Liu, Zhensheng et al. (2017) Pathway-analysis of published genome-wide association studies of lung cancer: A potential role for the CYP4F3 locus. Mol Carcinog 56:1663-1672

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