# Quantitative Science Shared Resource

> **NIH NIH P30** · BAYLOR COLLEGE OF MEDICINE · 2022 · $233,324

## Abstract

PROJECT SUMMARY: Quantitative Science Shared Resource (QSSR)
Quantitative science shared resources have been, from the beginning of cancer centers, a centerpiece of the
support that underpins and adds value to a cancer center. The same holds true today, although needs and
solutions have evolved. At present, as a matrix Shared Resource (SR) within the Dan L Duncan Cancer Center
and the Advanced Technology Cores of Baylor College of Medicine, the Quantitative Science Shared Resource
(QSSR) continues to play a critical role. The Resource, originally titled Biostatistics and Informatics Shared
Resource (BISR), was initially established as part of the first CCSG application in 2006. In response to changing
needs, we have renamed the SR and restructured services and collaborative support to focus on biostatistics,
bioinformatics, and computational infrastructure in the form of our High Performance Compute (HPC) cluster.
Specific Aims of the Shared Resource include:
Aim 1. To provide state-of-the-art design, conduct, analysis, and interpretation to clinical, translational, and basic
 science cancer-related research through biostatistical, bioinformatic, and multi-omic methods;
Aim 2. To provide access to high quality, professionally managed high performance computing;
Aim 3. To coordinate with other high-throughput oriented Shared Resources on their analytic and data
 management needs;
Aim 4. To assist the DLDCCC with education and training, scientific review, data monitoring, and strategic
planning.
The QSSR is a critical resource to the Cancer Center. During the last 4 years we contributed to virtually every
aspect of Cancer Center endeavor – ranging from basic through clinical research, coordination of data flows with
other shared resources, scientific review, and education. Despite having transitioned to management as a BCM-
wide matrix SR, we continue to have a very high level of cancer focus. We are well represented at the leadership
level of the Cancer Center, where QSSR leaders serve on a number of committees, including the Executive
Committee. We are well-positioned to advise the DLDCCC on quantitative aspects of strategic initiatives and to
respond to new or changing priorities. During the last funding period, we continued to grow strategically, adding
faculty, staff and restructuring services, according to the plans put forward in our initial and subsequent
applications, and on advice of oversight and advisory committees, and Cancer Center leadership. Future plans
include additional faculty and staff recruitment, promoting enhanced access to High Performance Computing,
and assisting high-throughput technology-oriented shared-resources with improved data management and
analysis pipelines.

## Key facts

- **NIH application ID:** 10439819
- **Project number:** 5P30CA125123-16
- **Recipient organization:** BAYLOR COLLEGE OF MEDICINE
- **Principal Investigator:** SUSAN G. HILSENBECK
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $233,324
- **Award type:** 5
- **Project period:** 2007-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10439819

## Citation

> US National Institutes of Health, RePORTER application 10439819, Quantitative Science Shared Resource (5P30CA125123-16). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10439819. Licensed CC0.

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