DescriptionThe primary role of this Core is to ensure that all research conducted in the SPORE benefits from unbiased, efficient experimental designs and analyses, and that data collected in the projects is subjected to rigorous quality control, has efficient and accessible storage, and is organized with a data model that encourages inter-project collaboration. While the Biostatistics and Bioinformatics Core for this SPORE has been designed to be responsive to the specific aims of this application, the Core is nested within a large community of Biostatisticians and Bioinfomaticians conducting collaborative research and statistical consulting in the Dana-Farber/Harvard Cancer Center. There are approximately 25 FTE statisticians and bioinformaticians supported on multi-project grants throughout the 7 participating institutions in the DF/HCC, in addition to the approximately 6 FTE statisticians supported on the Cancer Center Support Grant. This Core will take advantage of the infrastructure (e.g., software and high speed computing) and intellectual resources directed at cancer research in the DF/HCC. The software resources include the TM4 software system that Dr. Quackenbush has brought to DFCI, the program dChip, developed by a faculty member at DFCI (Professor Cheng Li), local copies of a large number of databases and data access tools (e.g., GenBank, PubMed, relevant genomes displayed using GBrowse), the extensive collection of commercial statistical and database software for which the DFCI has licenses (including SAS, Stata, Splus, Matlab, nQuery Advisor, StatXact and LogXact, Oracle), the clinical trials electronic data capture system based on Phase Forward now being deployed in DF/HCC, and the national and local contributed packages to the R Statistical Language and BioConductor.

 

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