# Clemson University Genomics Institute (CUGI)

> **NIH NIH P20** · CLEMSON UNIVERSITY · 2020 · $288,261

## Abstract

PROJECT SUMMARY/ABSTRACT
The implementation of advanced tools to collect and measure genetic content and gene dynamics is vital to the
study of eukaryotic pathogens for development new strategies of therapeutic intervention, new uses for
existing treatment, and new acumen for prevention. Translational genomics and bioinformatics is a developing
field, with new standards and technologies emerging rapidly that provide insight into the fundamentals of
eukaryotic biology. A considerable constraint in the uptake of integrative genomics is the ability to effectively
collect, manage, store, and interpret the vast amounts of genomic data. The intensive computational
resources needed to clean, process, and interpret the data are neither trivial nor standardized across different
data and projects types. The primary goal of this COBRE core enhancement proposal is to enhance the
current physical computational infrastructure of the Clemson University Genomics Institute (CUGI), and
establish dedicated computational scientists to meet the needs of the TI's. These resources will create a
supportive environment that will significantly accelerate the uptake of integrative genomics, enrich the
educational and training opportunities for students and post-docs, and increase the value of CUGI to other
Clemson faculty investigators and other NIH-COBRE Centers in South Carolina.

## Key facts

- **NIH application ID:** 9900817
- **Project number:** 5P20GM109094-05
- **Recipient organization:** CLEMSON UNIVERSITY
- **Principal Investigator:** Christopher Alan Saski
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $288,261
- **Award type:** 5
- **Project period:** — → 2022-07-14

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9900817

## Citation

> US National Institutes of Health, RePORTER application 9900817, Clemson University Genomics Institute (CUGI) (5P20GM109094-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9900817. Licensed CC0.

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