COMPUTATIONAL BIOLOGY AND BIOSTATISTICS CORE SUMMARY The Computational Biology and Biostatistics Core (CBBC) will provide essential computational and biostatistical services and resources for all projects of the WCM SPORE in Prostate Cancer (PCa). Analytic services include statistical design and analysis, extensive quality control, integrative analysis and interpretation of genomic (DNA-seq, RNA-seq) epigenomic (ChIP-seq, bisulfite sequencing) datasets and implementation and development of custom computational pipelines needed by the projects. Core investigators include Drs Elemento and Ballman (Co-Directors), Dr Sboner (Co-investigator) and Dr Demichelis (Co-investigator). All CBBC investigators are highly experienced scientists with an extensive track record of publications and grants in their field and have authored first, last or co-author publications in prostate cancer. CBBC investigators have developed key computational biology methods ranging from pathway and motif analysis (iPAGE and FIRE) to fusion detection (FusionSeq) and tumor and mutational clonality analysis (CLONET). In addition to analytic services, the Computational Biology and Biostatistics Core will provide centralized access to a number of computational tools developed by the core investigators as well as direct access to expertise for the design and analysis of genomic and epigenomic experiments. The Computational Biology and Biostatistics Core will take advantage of the shared computational infrastructure of the Institute for Computational Biomedicine (ICB) at Weill Cornell Medicine (WCM) and of clinical-grade computational pipelines already developed in the context of the WCM/NewYork-Presbyterian Hospital (NYPH) Englander Institute for Precision Medicine (IPM). Specifically, CBBC will provide computational analysis of genomic, epigenomic, and transcriptional profiling for all Projects and Cores that are part of this SPORE (Aim 1). CBBC will also provide the full spectrum of statistical services for all Projects and Cores that are part of the SPORE (Aim 2). Project 1 (co-led by Dr Beltran and Demichelis), Project 2 (co-led by Drs Rickman and Beltran), Project 3 (co-led by Drs. Rubin, Tomlins, and Shen) and Project 4 (co-led by Dr. Barbieri and Shen) will all use the CBBC. In addition, CBBC will support DRP and CEP projects as they develop.

Public Health Relevance

COMPUTATIONAL BIOLOGY AND BIOSTATISTICS CORE NARRATIVE The Computational Biology and Biostatistics Core (CBBC) will provide essential computational and biostatistical services and resources for all projects of the WCM SPORE in Prostate Cancer (PCa).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA211024-01A1
Application #
9357037
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Pathology
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
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Liu, Hui; Murphy, Charles J; Karreth, Florian A et al. (2018) Identifying and Targeting Sporadic Oncogenic Genetic Aberrations in Mouse Models of Triple-Negative Breast Cancer. Cancer Discov 8:354-369