# Core B: Biostatistics and Computational Biology

> **NIH NIH P50** · DANA-FARBER CANCER INST · 2020 · $186,088

## Abstract

PROJECT SUMMARY
The Dana-Farber/Harvard Cancer Center (DF/HCC) SPORE in Breast Cancer Biostatistics and Computational
Biology Core (Core B) collaborates and provides consultation on all research activities within the SPORE,
including SPORE Projects, Developmental Research Program and Career Enhancement Program projects to
ensure the highest standards of scientific rigor in areas of study design, data management and integrity, and
data analysis and interpretation. The overarching goal is to promote translational research derived from
fundamental discoveries in the laboratory that can lead to tangible clinical benefit.
The specific aims of Core B are to: (1) provide biostatistical and computational biology expertise for the planning
and design, conduct, analysis, and reporting of laboratory, genomic, animal, translational, clinical (including
associated correlative studies), and epidemiological studies for SPORE Projects, Developmental Research and
Career Enhancement projects, and other SPORE Cores; (2) provide consultation on all issues of data
management and integrity, including: a) data collection and storage, b) data transfer and quality assurance, c)
statistical and computational biology software and programs, and d) integration of preclinical data and correlative
findings with parameters and outcomes from clinical studies databases; and (3) provide short-term biostatistics
and computational biology consulting to the entire group of SPORE researchers.
Organizing biostatistical and computational biology expertise as a shared resource core is a cost-effective
approach to ensure that collaboration is readily available to SPORE investigators and is an effective strategy to
guarantee a high degree of integration among projects, which have interrelated analytic goals and needs. Core
B has a wealth of experienced biostatisticians and computational biologists equipped with excellent
computational support, including major commercial and public-use statistical software, and a large library of
locally written software for design and analysis.

## Key facts

- **NIH application ID:** 9973090
- **Project number:** 5P50CA168504-07
- **Recipient organization:** DANA-FARBER CANCER INST
- **Principal Investigator:** MEREDITH M REGAN
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $186,088
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9973090

## Citation

> US National Institutes of Health, RePORTER application 9973090, Core B: Biostatistics and Computational Biology (5P50CA168504-07). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9973090. Licensed CC0.

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