Biostatistics and Bioinformatics Shared Resource
Director: Jeanne Kowalski, PhD, Biostatistics and Bioinformatics Shared Resource (BBI)
Introduction and Overview
The purpose of the Biostatistics and Bioinformatics shared resource (BBI) is to provide a comprehensive, multi-disciplinary collaboration in the design and analysis of clinical, preclinical and epidemiologic investigations as well as experiments that involve data from high throughput technologies (e.g., gene expression microarrays, protein arrays, ChIP-chips). These collaborations lead to the application and development of innovative statistical methodology and summarization of results to address cancer research.
The BBI has the following overall goals: to provide statistical consultation and collaboration on the design, conduct, analysis and interpretation of all Winship Cancer Institute of Emory University investigators' research activities.
Capabilities and Services
Provide consultation and collaboration regarding study design (e.g., validity of design, feasibility of meeting objectives, sample size, projection of study duration)
Make recommendations concerning key infrastructure (data management and computer systems support
Conduct data analysis, prepare reports and assist with manuscript writing
Develop novel biostatistics and bioinformatics methods
Review proposals for clinical cancer-related studies within the context of the clinical trials review committee
Collaborations within Winship and in the larger university community are supported by collaborative grants or fee for service.
The BBI support is critical to most all of the peer-reviewed funded investigators at Winship, and both fields play a fundamental role in pre- and post-funding award stages of cancer research studies. Our shared resource is recognized as an essential element of research infrastructure at Winship by way of collaboration and consultation with other Winship investigators in the design, conduct and analysis of cancer-related clinical, preclinical and epidemiological investigations.
Visit the Biostatisitcs and Bioinformatics Shared Resource website
Please acknowledge the Core Facility in all publications as follows:
Research reported in this publication was supported in part by the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/NCI under award number P30CA138292. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Winship Cancer Institute
1365-B Clifton Rd. Suite B4100
Atlanta, GA 30322