# Core C: BBC: Biostats and Bioinformatics Core

> **NIH NIH P50** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2024 · $271,290

## Abstract

PROJECT SUMMARY – BIOSTATISTICS/BIOINFORMATICS CORE 
The Biostatistics/Bioinformatics Core of the Hillman Cancer Center (HCC) Ovarian Cancer (OvCa) SPORE 
provides services for the design of experiments and the analysis of in vitro, in vivo, clinical, translational and - 
omics data. The investigators and staff of both segments of the Core have significant experience in research in 
ovarian cancers, so that data are analyzed in the appropriate scientific context, increasing the Core's efficiency 
and effectiveness compared to general purpose data analysis services. Biostatistics and Bioinformatics 
combines classic statistical techniques with contemporary Bayesian, machine learning and genomics methods 
to ensure that every research project, Developmental Research Program and Career Development Program 
awardee in the SPORE has access to the most appropriate analyses. The Core will also work closely with the 
Administrative Core and the Translational Pathology Core to ensure that data flows between laboratories, 
clinics and analysts are efficient and that data and resource sharing can be effective and comprehensive. 
The BBC Co-Directors are Dr. Curtis Tatsuoka (Biostatistics) and Dr. Riyue Bao (Bioinformatics) who have 
assembled an excellent team to help achieve the goals of the OvCa SPORE.

## Key facts

- **NIH application ID:** 10925297
- **Project number:** 5P50CA272218-02
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Hong Wang
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $271,290
- **Award type:** 5
- **Project period:** 2023-09-01 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10925297

## Citation

> US National Institutes of Health, RePORTER application 10925297, Core C: BBC: Biostats and Bioinformatics Core (5P50CA272218-02). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10925297. Licensed CC0.

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