# High-Throughput Genomics and Bioinformatic Analysis (GBA)

> **NIH NIH P30** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2022 · $603,687

## Abstract

HIGH-THROUGHPUT GENOMICS AND BIOINFORMATIC ANALYSIS
SHARED RESOURCE
ABSTRACT
The High-Throughput Genomics and Bioinformatic Analysis Shared Resource (GBA) is dedicated to supporting
the genomic experimentation and bioinformatic analysis needs of Huntsman Cancer Institute (HCI).
Established in 1997, GBA consists of two closely-aligned sections, the Genomics Section, led by Brian Dalley,
PhD, and the Bioinformatic Analysis Section, led by David Nix, PhD. Both Sections provide teams of genomic
professionals who guide Cancer Center members through the experimental and analytical processes, support
diverse protocols enabling state-of-the-art research, and continuously review and incorporate novel
technologies for the benefit of HCI’s Research Programs. GBA’s aims are: 1) to provide state-of-the-art
genomic technologies, services, and expertise, and 2) to support the scientific research objectives of the
Cancer Center by enabling access to cost-effective, sophisticated genomic approaches for high-impact
research, including team science grants. Management of GBA within the Cancer Center ensures that the
Resource is focused on addressing the genomic technology needs of Cancer Center members.
Specifically, GBA performs three essential functions: 1) recruit and train highly experienced scientists,
bioinformaticians, and genomic technicians to support Cancer Center members, 2) provide a diverse portfolio
of experimental protocols and analysis workflows to enable the latest research in genomics, and 3) evaluate,
implement, and optimize genomic sequencing and bioanalytic infrastructure for the benefit of researchers at
HCI. Cancer Center members with peer-reviewed funding comprise 28% of GBA users. Users benefit from the
exceptional quality of the Resource at a highly subsidized cost, enabled through Cancer Center Support Grant
and HCI support. Since 2014, over 80 publications have included experiments supported by the Resource.
In summary, GBA provides a full-service facility to Cancer Center members and University of Utah
investigators for state-of-the-art genomics research that spans the spectrum from experimental design, data
generation, and in-depth integrated analysis to publication-quality figures and tables. The GS offers evaluation
of sample quality, construction and qualification of Illumina sequencing libraries, and Illumina sequencing. The
BAS conducts data analysis services that include processing raw data to primary results using well-developed
analytic protocols for all of the major classes of next-generation sequencing applications. GBA also plays a key
role in HCI’s translational genomics groups, which bring together investigators and clinicians who work with
aggregated patient-derived datasets to improve clinical care. These comprehensive services enable
investigators from diverse disciplines to use these powerful tools to inform their research.

## Key facts

- **NIH application ID:** 10388122
- **Project number:** 5P30CA042014-33
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** BRIAN DALLEY
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $603,687
- **Award type:** 5
- **Project period:** 1997-05-09 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10388122

## Citation

> US National Institutes of Health, RePORTER application 10388122, High-Throughput Genomics and Bioinformatic Analysis (GBA) (5P30CA042014-33). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10388122. Licensed CC0.

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