# Genomics and Computational Core

> **NIH NIH P01** · UT SOUTHWESTERN MEDICAL CENTER · 2020 · $206,756

## Abstract

Project Summary/Abstract - Genomics and Computational Core (Kraus - PI)
 State-of-the-art genomic technologies combined with cutting-edge computational tools have
dramatically advanced our understanding of signal-regulated gene transcription in a wide variety of biological
systems. Next generation sequencing-based assays, such as RNA sequencing (RNA-seq), global run-on
sequencing (GRO-seq), and chromatin immunoprecipitation sequencing (ChIP-seq), have revealed new
information about the regulation of steady-state RNA levels, as well as the localization and regulation of
actively transcribing RNA polymerase, transcription factors, and histone modifications across the genome. The
global views generated by these assays provide a uniquely informative perspective that cannot be achieved by
analyzing one or a few genes at a time. Although the field of reproductive biology has begun to incorporate
genomic tools into its repertoire, it has yet to maximize the use of these unique discovery and analysis tools.
 The goal of this project is to establish a Genomics and Computational Core (GCC) that will serve the
needs of all four research projects, all of which propose to use genomic approaches as discovery tools and as
assays to probe molecular mechanisms. The GCC will eliminate the need for each lab to establish these
methodologies on its own, or to use fee-for-service alternatives that typically only provide first pass data
analysis and do not see the experiment through from start to finish. In this regard, the GCC will provide
comprehensive service that includes experimental design, genomic library preparation, data analysis, and data
archiving. In addition, the GCC will act to promote and facilitate collaborations between the personnel working
in different labs. To save costs and increase efficiency, the GCC will leverage infrastructure and expertise
already present in the Green Center for Reproductive Biology Sciences.
 Specifically, the GCC will (1) provide consultation to the PIs and their laboratories during the planning
and design stages of all genomic experiments, (2) prepare high-quality genomic libraries from samples
collected by the PIs and their laboratories for next generation sequencing, (3) perform quality control analyses
on the genomic libraries and the resulting data, and (4) analyze the genomic data generated by the PIs and
their laboratories. We anticipate that the GCC will greatly enhance (1) the ease of performing genomic
experiments, (2) the quality of the data obtained and the analyses performed, and (3) the efficiency of doing
genomic experiments and concomitant waste reduction. Most importantly, the GCC will greatly enhance the
efforts of the PIs and their laboratories in obtaining meaningful biological information from genomic
experiments.

## Key facts

- **NIH application ID:** 9830664
- **Project number:** 5P01HD087150-04
- **Recipient organization:** UT SOUTHWESTERN MEDICAL CENTER
- **Principal Investigator:** WILLIAM Lee KRAUS
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $206,756
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9830664

## Citation

> US National Institutes of Health, RePORTER application 9830664, Genomics and Computational Core (5P01HD087150-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9830664. Licensed CC0.

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