# Data and Omics Sciences Core (DATAOmics)

> **NIH NIH U54** · UNIVERSITY OF TX MD ANDERSON CAN CTR · 2022 · $92,360

## Abstract

DATA AND OMICS SCIENCES CORE (DATAOmics)
PROJECT SUMMARY/ABSTRACT
The primary objective of the Data and Omics Sciences Core (DATAOmics) is to assist the work of the
Infection-Driven Malignancies Program for Advancing Careers and Translational Sciences (IMPACT), a cancer
research partnership between the University of Puerto Rico (UPR) and the MD Anderson Cancer Center
(MDACC), through an enhanced infrastructure to support IMPACT's research, education, and outreach
activities, in quantitative analyses and scientific reporting. We propose to expand and strengthen the
relationships between IMPACT and the UPR Comprehensive Cancer Center by establishing a formal unit to
support their researchers and participants (undergraduate and graduate students) in areas such as
biostatistics, epidemiology, bioinformatics and Omics sciences. DATAOmics capabilities will be enhanced, with
respect to the previous Biostatistics, Epidemiology and Bioinformatics Core (BEBiC) in at least two ways: 1)
the incorporation of a new investigator with experimental and analytical expertise in Omics sciences,
particularly in next generation sequencing and mass spectrometry, and with wet lab experience, a dimension
which is now of paramount importance in modern cancer research, particularly for Full Project A and Pilot
Project A; and 2) by adding a small and fully dedicated computer server to DATAOmics, which will enhance
our computational ability to undertake realistic bioinformatics and Omics problems and will enable participants
to be trained in bioinformatics analyses. The overall goal of DATAOmics is to enhance the productivity of
IMPACT's research projects through the provision of high-quality and timely biostatistics, data sciences,
bioinformatics and Omics advice and consultancy at all stages of research. The specific aims of DATAOmics
are: 1) Provide support and consulting on study design, data gathering and management, and statistical
analysis to all research projects; 2) Increase cancer research capacity in design and statistical analyses in
biostatistics, data sciences, bioinformatics and Omics through educational activities for our researchers and
participants; and 3) Develop and apply innovative biostatistics and bioinformatics methodologies to the cancer
research projects initiated by our researchers. DATAOmics will include two components: 1) Biostatistics and
Data Science, and 2) Bioinformatics and Omics Sciences. The Biostatistics and Data Science component at
UPR will have two statisticians and one epidemiologist dedicated to the methodological and statistical aspects
of the research projects. MDACC will engage one senior biostatistician and one senior data analyst. The
Bioinformatics and Omics Sciences components at UPR will have two bioinformaticians engaged in the
bioinformatics facets of the projects in a broad sense (including: genomics, transcriptomics,
pharmacogenomics, proteomics, epigenomics, metabolomics, lipidomics, and microbiomics), and MDACC will
all...

## Key facts

- **NIH application ID:** 10466876
- **Project number:** 5U54CA096300-19
- **Recipient organization:** UNIVERSITY OF TX MD ANDERSON CAN CTR
- **Principal Investigator:** Xuelin Huang
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $92,360
- **Award type:** 5
- **Project period:** 2002-08-16 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10466876

## Citation

> US National Institutes of Health, RePORTER application 10466876, Data and Omics Sciences Core (DATAOmics) (5U54CA096300-19). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10466876. Licensed CC0.

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