# Core C: Biostatistical and Bioinformatics Core

> **NIH NIH P50** · WASHINGTON UNIVERSITY · 2024 · $229,077

## Abstract

PROJECT SUMMARY
The Biostatistics and Bioinformatics Core (Core C) facility will provide study design, pipeline development, data
management, and computational support for all SPORE in Pancreas investigators and projects. The Biostatistics
component of the Core will perform consultation and collaboration on all aspects of statistical study design,
database development and quality control, and data analysis and interpretation. The Bioinformatics component
of the Core will perform consultation and collaboration on all aspects of genomics and bioinformatics study
design, pipeline development, omics data integration, visualization, interpretation and genomic data sharing
through controlled access systems. Core C will provide bioinformatics and biostatistics collaborations for SPORE
projects, Developmental Research Program (DRP) studies, and other Cores to ensure that robust statistical
methods and robust reproducible omics analyses are available to support SPORE investigators. Core C will also
provide bioinformatics and biostatistical support and training to junior investigators through the Career
Enhancement Program (CEP). The Biostatistics and Bioinformatics components of Core C will work together
closely to ensure their efforts are integrated and complementary.

## Key facts

- **NIH application ID:** 10916360
- **Project number:** 5P50CA272213-02
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** GRAHAM A. COLDITZ
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $229,077
- **Award type:** 5
- **Project period:** 2023-08-28 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10916360

## Citation

> US National Institutes of Health, RePORTER application 10916360, Core C: Biostatistical and Bioinformatics Core (5P50CA272213-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10916360. Licensed CC0.

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