# Biostatistics and Bioinformatics Facility Core

> **NIH NIH P30** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2020 · $224,866

## Abstract

Abstract
The success of CEHS requires biostatistics and bioinformatics support for appropriate experimental design,
correct and state-of-the-art approaches for data analysis and interpretation. The Biostatistics and
Bioinformatics Facility Core (BBFC) is an integral part of CEHS to deliver such support. The BBFC also
participates in the education mission of CEHS by offering a biostatistics class for laboratory scientists, weekly
walk-in clinic, extra consultation by appointment, as well as seminars and symposia. In addition, the BBFC also
facilitates the collaboration between biostatistics and bioinformatics faculties/trainees and CEHS researchers
to develop new biostatistics or bioinformatics methods for environmental health studies. To achieve these
aims, the BBFC support three regular faculty members and three of seven rotational faculty members. This
organization with both regular and rotational faculty members has proven to be extremely successful as
evidenced by the achievements of last funding cycle. We will further improve our support on bioinformatics and
routine data analysis, refine the working procedure for walk-in clinic, and strengthen our connections with other
resources from UNC Chapel Hill, such as a NIEHS-funded training grant and the CTSA award for translational
research.

## Key facts

- **NIH application ID:** 9903310
- **Project number:** 5P30ES010126-19
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** Wei Sun
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $224,866
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9903310

## Citation

> US National Institutes of Health, RePORTER application 9903310, Biostatistics and Bioinformatics Facility Core (5P30ES010126-19). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9903310. Licensed CC0.

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