# North Carolina Diabetes Research Center

> **NIH NIH P30** · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2020 · $183,968

## Abstract

PROJECT SUMMARY/ABSTRACT – GENOMICS AND PROTEOMICS CORE
As part of the North Carolina Diabetes Research Center (NCDRC), the Genomics and Proteomics Core (GPC)
will utilize state-of-the-art resources and expertise in genomics and mass spectrometry at the Wake Forest
Center for Precision Medicine to provide unique access to high-throughput instrumentation and analytical
expertise to NCDRC faculty and affiliate members in support of ongoing and future research programs. The GPC
builds on the extensive long-standing expertise and experience of several investigators who have supported
Core components for other large-scale research efforts in genomics, epigenomics, proteomics and bioinformatics
and statistics, and who are all part of the Center for Precision Medicine at Wake Forest University Health
Sciences. The GPC will also coordinate the use of existing genomics, epigenomics, and proteomics resources
at the partner institutions (UNC, NC A&T, and Duke University), and coordinate work and data analysis with the
Metabolomics Core to provide the entire suite of omics analyses. The NCDRC GPC will offer analytic services,
but equally importantly, the GPC will provide the knowledge and tools to integrate the data to better understand
the interactive systems at play in disease processes.

## Key facts

- **NIH application ID:** 9961965
- **Project number:** 1P30DK124723-01
- **Recipient organization:** WAKE FOREST UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** MICHAEL OLIVIER
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $183,968
- **Award type:** 1
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9961965

## Citation

> US National Institutes of Health, RePORTER application 9961965, North Carolina Diabetes Research Center (1P30DK124723-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9961965. Licensed CC0.

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