# GeroInformatics Core

> **NIH NIH P30** · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · 2022 · $144,657

## Abstract

The importance of analyzing large data sets (e.g., RNAseq, ChIP-seq, genomic studies, etc)
are increasingly used for a global analysis of molecular changes with age or with aging
interventions. However, access to the bioinformatics and statistical expertise necessary to
analyze and interpret these data can be rate-limiting for many investigators, especially junior
investigators. Additionally, in the age of Big Data, there is a need to focus the development of
bioinformatics methods that will help investigators answer aging-related questions. The goal of
the GeroInformatics Core is to assist investigators in Oklahoma City and throughout the nation
with bioinformatics and statistical analyses specifically designed for investigators studying aging
questions. The Core will accomplish this goal using established bioinformatic methods for data
analysis, statistical support for experimental design and analysis, as well as using novel and
innovative approaches for data analysis developed by the GeroInformatics Core, specifically
designed to analyze aging data bases. The GeroInformatics Core consists of established
experts in bioinformatics methods development, statistics, and the molecular biology of aging.
Besides established approaches for data analysis, the GeroInformatics Core has developed
bioinformatics methods to interrogate large-scale data from different perspectives, such as
literature-based networks of related entities (e.g., genes, diseases, metabolites, concepts),
transcriptional correlations compiled from public data sources to compare new experiments
against, and annotations of genomic regions to search for experimental commonalities.
Because of the growing interest in the use of single-cell RNA-sequencing to study the effect of
aging on individual cells from cell cultures or tissues and because of the lack of methods to
critically analyze single-cell transcriptomic data, a new function of the GeroInformatics Core in
this application is to develop methods to iteratively analyze single-cell transcriptomic data and
make these novel analyses available to the aging community.

## Key facts

- **NIH application ID:** 10424600
- **Project number:** 5P30AG050911-08
- **Recipient organization:** UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
- **Principal Investigator:** Jonathan Daniel Wren
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $144,657
- **Award type:** 5
- **Project period:** 2015-07-15 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10424600

## Citation

> US National Institutes of Health, RePORTER application 10424600, GeroInformatics Core (5P30AG050911-08). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10424600. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*