# Bioinformatics Group

> **NIH NIH UM2** · RHO FEDERAL SYSTEMS DIVISION, INC. · 2021 · $105,352

## Abstract

PROJECT SUMMARY/ABSTRACT—BIOINFORMATICS GROUP 
 The scale of research in the life sciences is increasing rapidly, due in part to the growing ubiquity of 
“omics”. High-throughput and high-dimensional assay technologies, including variations of DNA sequencing, 
array/lab-on-a-chip assays, mass spectrometry, nuclear magnetic resonance spectroscopy, and other 
technologies, allow investigators to study entire genomes, transcriptomes, proteomes, metabolomes, 
microbiomes, and other large-scale systems. Researchers examine biological systems holistically, looking for 
patterns and emergent properties or simply cast a wide net by measuring many more variables simultaneously 
in an experiment. DAIT-funded investigators are increasingly using these approaches. Advances in information 
technology also drive the increasing scale of research by facilitating the creation, sharing, pooling, and analysis 
of large databases of research data. Bioinformatics meets these scalability opportunities and challenges by 
applying techniques from computing, statistics, mathematics, and engineering to the management, analysis, 
and dissemination of large and or complex biological data sets. 
 The Bioinformatics Group (BG) will serve as a core component of the DAIT Statistical and Clinical 
Coordinating Center and will help maximize the value of data collected by DAIT-sponsored clinical and 
mechanistic investigators by fostering long-term capacity for data sharing and utilization by the general 
research community. Building on Rho's extensive experience as a Statistical and Clinical Coordinating Center 
for a number of NIH and DAIT research networks, the BG will play a role in every stage of the data lifecycle: 
During study planning the BG will provide expert guidance to investigators on experimental design, emerging 
technologies, and analytical approaches, particularly with regards to the application of omics and other high- 
dimensional data types. The team will collaborate with investigators and other bioinformatics organizations to 
develop data standards for clinical and mechanistic data and apply those to DAIT study data sets and 
information systems developed by the center. Implementing these standards will ensure that data are 
consistently structured and annotated and will make them more easily shared and pooled. The BG will provide 
tools, high performance computing infrastructure, and analytical support for high-throughput and high- 
dimensional data sets. Finally, it will serve as the primary conduit for data dissemination from supported DAIT 
programs through the development of study portals for live data access and transfer of final study data sets to 
public repositories, such as ImmPort and TrialShare.

## Key facts

- **NIH application ID:** 10150749
- **Project number:** 5UM2AI117870-07
- **Recipient organization:** RHO FEDERAL SYSTEMS DIVISION, INC.
- **Principal Investigator:** David Hall
- **Activity code:** UM2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $105,352
- **Award type:** 5
- **Project period:** 2020-05-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10150749

## Citation

> US National Institutes of Health, RePORTER application 10150749, Bioinformatics Group (5UM2AI117870-07). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10150749. Licensed CC0.

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