# Core 004 (377) Cancer Informatics

> **NIH NIH P30** · H. LEE MOFFITT CANCER CTR & RES INST · 2020 · $168,914

## Abstract

PROJECT SUMMARY 
Analyzing, managing, and interpreting data accumulated in the age of accessible genomics involves 
tremendous challenges. A shared resource consisting of informatics and computational scientists, a group of 
specially trained professionals who understand both biomedical and computer science methodologies, fills the 
collaboration gap between members, IT professionals, and computational scientists. The overall goal of the 
Cancer Informatics Core (CIC) is to facilitate the biomedical and translational research of Moffitt Cancer Center 
(MCC) members through implementation and development of methods and tools to record, integrate, manage, 
analyze, visualize, and share biomedical, behavioral, and clinical data. To accomplish its goal, the CIC's 
Specific Aims are to: 
 1) Support members' 'omics projects with bioinformatics project design, analysis, biological 
 interpretation, and visualizations: The CIC provides bioinformatics and big data analysis and 
 collaborates closely with the Biostatistics Core (BC) to provide seamless analytical services for member 
 projects involving expression profiling, next-generation sequencing, and proteomics. Services include QC, 
 normalization, batch correction, phenotypic analysis, and biological pathway enrichment. 
 2) Support members' data management and reporting needs with study-specific informatics tools: 
 Complex, study-specific data are collected for member biomedical research studies, including large multi- 
 project studies such as SPOREs. 
 3) Provide educational opportunities to train members and staff on the use of bioinformatics 
 resources and tools: Public resources are available for members and staff to extract biomedical data and 
 knowledge, leveraging work of the entire scientific community. The CIC provides training for members for 
 awareness of and access to these resources directly. 
The CIC includes three faculty members, a core facility manager, five staff scientists, and three software 
developers. CIC bioinformatics faculty devote 50-70% effort to MCC collaborative research activities, 
supported by CCSG, other grant, and institutional funding. Staff scientists and software developers are 
dedicated 100% to the CIC, supported by CCSG funding, chargebacks, and institutional support. CIC faculty 
and staff members are involved in all stages of scientific research, from supporting experimental design (with 
the Biostatistics Core) to publication of research findings. The CIC has provided significant impact in member 
research studies through bioinformatics analysis in genomics, proteomics, and expression profiling resulting in 
high-impact publications in journals such as Nature Genetics and Cancer Research. Over the past five years, 
the CIC has supported scientific projects of members of all programs, resulting in 62 publications. In the most 
recent fiscal year, the CIC supported 35 members, with 84% of usage by peer-review-funded members.

## Key facts

- **NIH application ID:** 9868909
- **Project number:** 5P30CA076292-22
- **Recipient organization:** H. LEE MOFFITT CANCER CTR & RES INST
- **Principal Investigator:** Brooke L Fridley
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $168,914
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9868909

## Citation

> US National Institutes of Health, RePORTER application 9868909, Core 004 (377) Cancer Informatics (5P30CA076292-22). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9868909. Licensed CC0.

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