# GREAT: Collaborative Genomic Initiative between Prairie View A&M and Texas A&M Universities

> **NIH HG R25** · PRAIRIE VIEW AGRI & MECH UNIVERSITY · 2026 · $378,000

## Abstract

Project Summary/Abstract 
This GREAT Program will develop genomics opportunities for students at Prairie View A&M University (PVAMU) through a collaboration with Texas A&M University (TAMU). While these institutions are separated by 40 miles, there have historically been few collaborations in the area of biomedical science. This program will develop a Course-based Undergraduate Research Experience (CURE) focusing on using genomic and bioinformatic approaches to predict the function of unannotated genes. The CURE will be cotaught by PVAMU and TAMU faculty. During the summer, students will participate in research in a TAMU genomics lab. These research opportunities will be complemented by workshops, networking events, and other training opportunities. Together, the proposed program will foster critical thinking, self-empowerment, and provide students with the skills and training necessary to enter PhD programs in genomics or to enter the workforce in a genomics-related area. Taken together, this program will strengthen genomics programming at PVAMU, develop ties between the two universities, and promote research opportunities in genomic sciences.

## Key facts

- **NIH application ID:** 11190867
- **Project number:** 5R25HG013004-03
- **Recipient organization:** PRAIRIE VIEW AGRI & MECH UNIVERSITY
- **Principal Investigator:** Harriette  Block
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** HG
- **Fiscal year:** 2026
- **Award amount:** $378,000
- **Award type:** 5
- **Project period:** 2023-09-15T00:00:00 → 2029-01-31T00:00:00

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11190867

## Citation

> US National Institutes of Health, RePORTER application 11190867, GREAT: Collaborative Genomic Initiative between Prairie View A&M and Texas A&M Universities (5R25HG013004-03). Retrieved via AI Analytics 2026-05-16 from https://api.ai-analytics.org/grant/nih/11190867. Licensed CC0.

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