Core 1: Biostatistics/Bioinformatics Core

University Of Michigan At Ann Arbor, Ann Arbor MI

Investigators

Linked publications & trials

Abstract

The goal of the Biostatistics/Bioinformatics Core is to collaborate with SPORE Investigators and other Core resource scientists to enhance the quality of the research undertaken in the Michigan Prostate SPORE. The Core personnel have been chosen because of their expertise in relevant areas of Biostatistics and Bioinformatics that are specifically required for the SPORE projects to succeed. Support will be provided in all stages of the research, beginning with the formulation of the research question, through the experimental design stage and data collection stage, including genomic sequencing, data analysis, and interpretation, to the writing of reports and dissemination of results. It will be apparent from this proposal that Core personnel have played a significant role in designing the proposed experiments and planning the data analyses. The exact nature of the collaboration will depend on the specifics of the science and the needs of the project. In addition to direct support of the projects and other Cores, senior statisticians will also focus on statistical methodology development and the advancement of genomic/bioinformatic capabilities related to the needs of prostate cancer research in this SPORE. Thus, the Specific Aims of the Core are: 1) Assist investigators in the design of clinical, laboratory, and high-throughput genomic sequencing experiments; 2) Assist investigators in the analysis and interpretation of data from clinical and laboratory experiments, the processing and examination of high-throughput genomic datasets, and in writing of manuscripts relaying Michigan Prostate SPORE results to the scientific community; 3) Undertake translational biostatistics/bioinformatics research to develop methodology and software implementation relevant to prostate cancer including the development of algorithmic toolkits for emerging types of genomic assays and the adaptation/refinement of existing computational approaches to the needs of the Michigan Prostate SPORE. The Biostatistics/Bioinformatics Core will be led by Dr. Alexander Tsodikov, Ph.D., a Professor of Biostatistics at the University of Michigan. He has served as the Director of the Prostate SPORE Biostatistics Core since 2009 and has substantial experience in the development of mechanistic statistical models of prostate cancer and biostatistical methodology and software, and statistical models in cancer. Drs. Jeremy Taylor, Ph.D., Marcin Cieslik, Ph.D., Matthew Schipper, Ph.D., and Yuping Zhang, Ph.D. will serve as Co-Investigators. Together, this team of investigators will provide rigorous statistical and bioinformatics support to the Michigan Prostate SPORE to ensure the highest caliber of research studies and reported results.