# Quantitative 'Omics Core

> **NIH NIH P20** · UNIVERSITY OF KANSAS MEDICAL CENTER · 2021 · $176,696

## Abstract

ABSTRACT 
The Quantitative `Omics Core (QOC) is being created to apply and develop innovative statistical and 
bioinformatics tools to assist investigators in addressing precision medicine needs across a diverse range of 
human diseases. The emerging field of precision medicine (PM) offers the possibility of improving the health of 
patients through targeted treatments and therapeutics based on the unique characteristics of the individual. 
Due to its short history as a field and its very nature, PM studies frequently require custom solutions and novel 
statistical and bioinformatical methods. For the same reasons, it requires biostatisticians and bioinformaticians 
with a cross-disciplinary, “team-science” background, to enable both a comprehensive understanding of the 
needs of domain experts and the requisite technical expertise to support those needs with the application of 
state-of-the-art biostatistics/bioinformatics techniques and methods, and when necessary, the development of 
custom solutions. For many PM projects, generating the data marks only beginning of the challenge, with 
analysis and interpretation representing a major bottleneck in translating raw data into clinically actionable 
information. 
The long-term objective of the QOC is to build and maintain an infrastructure that enables the application of 
rigorous biostatistics and bioinformatics analyses with a measurable impact on the ability of COBRE 
investigators to both publish their work and compete for R01-type funding. To achieve this objective and to 
address the above challenges, the Core will leverage its expertise in study design, data management, data 
visualization, bioinformatics, and the analysis and interpretation of high-throughput `omic studies, including 
studies of gene expression (microarray and RNA-seq), pathway analysis, protein-DNA binding (e.g. ChIP-seq), 
DNA methylation, DNA variation, and integrative multi-omic analysis. The QOC, directed by Devin Koestler, 
PhD, consists of faculty and staff with a complimentary skill set in the areas of biostatistics, bioinformatics and 
statistical `omics. The considerable overlap between these three areas allow COBRE investigators to work 
with a single core for their data collection, management, analytics, bioinformatics, and statistical needs. In 
addition, the synergy between the areas encompassing quantitative `omics allows the Core to provide a wide- 
range of quality services to COBRE researchers in a timely fashion. The Core already has an impressive track 
record in applying and developing innovative analytical strategies for cancer-related studies and will seek to 
expand these successes into other disease states.

## Key facts

- **NIH application ID:** 10115112
- **Project number:** 5P20GM130423-03
- **Recipient organization:** UNIVERSITY OF KANSAS MEDICAL CENTER
- **Principal Investigator:** Devin Charles Koestler
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $176,696
- **Award type:** 5
- **Project period:** 2019-02-15 → 2024-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10115112

## Citation

> US National Institutes of Health, RePORTER application 10115112, Quantitative 'Omics Core (5P20GM130423-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10115112. Licensed CC0.

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