# Bioinformatics

> **NIH NIH P30** · UNIVERSITY OF CHICAGO · 2020 · $4,735

## Abstract

ABSTRACT
The analysis process that transforms high-throughput raw data into biologically meaningful information can
present important challenges to clinical, translational, and basic researchers alike. As part of the Center for
Research Informatics (CRI), the University of Chicago Medicine Comprehensive Cancer Center (UCCCC)
Bioinformatics Core Facility (BiCF) offers services and expertise designed to enable Biological Sciences
Division (BSD) investigators to take full advantage of current high-throughput technologies. The Core works
closely with the UCCCC Biostatistics Core Facility (BCF) and the Genomics Core Facility (GCF) to coordinate
scope and data flows. The major objectives of the Core are: 1) To provide expert analysis services by
developing and applying bioinformatics strategies for the analysis of complex genomics, proteomics and
genetics data; 2) To provide consultation, training and education to faculty regarding bioinformatics
approaches; and 3) To provide grant application support, including fully developing the bioinformatics
components of a grant, cost analysis, letters of support, and documenting the availability of tools and expertise
to complete the research indicated.
The BiCF combines the use of powerful computing resources, advanced analytics tools, and a commitment to
security to transform large amounts of raw data into meaningful results. The Core uses the CRI’s high-
performance computing cluster and large-scale storage resources, with which complex analytics can be
executed in parallel or distributed environments to produce fast data processing rates, improving application
performance and cost effectiveness. The BiCF has been a UCCCC Developing Core Facility during the current
grant period; based on its robust usage by UCCCC members and the essential role of bioinformatics in cancer
research, the BiCF is proposed as a full CCSG Core in this competing renewal application.

## Key facts

- **NIH application ID:** 10178292
- **Project number:** 3P30CA014599-45S2
- **Recipient organization:** UNIVERSITY OF CHICAGO
- **Principal Investigator:** Samuel Volchenboum
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $4,735
- **Award type:** 3
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10178292

## Citation

> US National Institutes of Health, RePORTER application 10178292, Bioinformatics (3P30CA014599-45S2). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10178292. Licensed CC0.

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