# Core 1 Data Analysis and Management Core

> **NIH NIH U54** · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · 2021 · $293,849

## Abstract

ABSTRACT/SUMMARY – Core 1
Data Analysis and Management Core
A huge amount of high-throughput sequencing data is expected to be generated from TCC, ChIP-ePENS,
BirA-BLRP-seq, ChIP-seq, MBDCap-seq, CLIP-seq, GRO-seq, and population-cell or single-cell RNA-seq
assays and proteomic analysis in the three projects of the proposed SA-OSU Research Center for Cancer
Systems Biology (SA-OSU RCCSB). Thus, it is critical to establishing a central data process hub in order to
meet the scientific missions and goals of our center. The Data Analysis and Management Core (DAMC) will
ensure a unified approach to data analysis and management for all three projects, including the following
tasks: 1) implementing and maintaining new software tools for computational models developed in the three
projects and intra-center pilot projects; 2) designing and supporting the data analysis flow using existing public
or our own software tools; 3) managing data submission to public archives, maintaining data repository and
exploring data visualization; and 4) coordinating with the Data Coordination Center (DCC) within the Research
Centers for Cancer Systems Biology (RCCSB) Consortium. To accomplish these tasks, the DAMC will
leverage existing infrastructure and computational expertise at University of Texas at San Antonio of both
Health Science Center (UTHSCSA) and Academics (UTSA), the Ohio State University, and Baylor College of
Medicine. We will establish a leadership team to develop and coordinate ongoing support of cancer omics
research and to communicate monthly with the Executive Committee in the Administrative Core. Members of
the DAMC leadership team include the leader of the DAMC and senior investigators of the three projects - Drs.
Jin (Chair), Ruan, Weintraub, and Li who have extensive experience in large-scale data management,
computational, statistical, genomic and proteomic analyses, and coordination of data analytic efforts within
multi-project centers. Members of the DAMC will also be involved in all phases of project planning, from design
to execution, to ensure that the flow of data from projects to the relevant cores and is well-coordinated.

## Key facts

- **NIH application ID:** 10151544
- **Project number:** 5U54CA217297-05
- **Recipient organization:** UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
- **Principal Investigator:** Victor Jin
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $293,849
- **Award type:** 5
- **Project period:** 2017-05-15 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10151544

## Citation

> US National Institutes of Health, RePORTER application 10151544, Core 1 Data Analysis and Management Core (5U54CA217297-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10151544. Licensed CC0.

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