# Core B: Biostatistics / Bioinformatics

> **NIH NIH P50** · MAYO CLINIC ROCHESTER · 2022 · $54,298

## Abstract

CORE B BIOSTATISTICS AND BIOINFORMATICS – PROJECT SUMMARY 
The Biostatistics and Bioinformatics Core (BBC) provides statistical, and bioinformatics, and computational 
biology collaboration and data management support for each of the Hepatobiliary Cancer (HBC) SPORE 
projects, developmental research and career enhancement projects, pilot projects and the other cores. The 
BBC has been active in preparing the statistical plan for each of the four projects in this application related to 
study design, analysis, and bioinformatics needs. The BBC builds upon the innovative and time-tested 
procedures and systems developed by Mayo Clinic, one of the largest statistical groups in the country whose 
members have collaborated on more than 13,000 clinical and basic science research studies since 1966. In 
the upcoming funding period, the Specific Aims of the BBC are as follows: 
Aim 1. Provide statistical and bioinformatics collaboration for each of the HBC SPORE projects, the 
developmental research program projects, the career enhancement program projects and the cores. We will 
provide statistical and bioinformatics support across different fields, including clinical trials, basic sciences 
including translational and immunologic correlative studies, sequencing and mutation discovery, expression 
analysis and genomics, and information management. 
Aim 2. Provide management and integration of existing and newly collected data through consistent and 
compatible data handling. Areas of support will include database development, data forms development and 
processing, data collection and entry, data archiving, quality control, and management of information relating to 
gene mutation identification. All of the clinical trials proposed in this application will take advantage of the 
extensive infrastructure available to trials through the Mayo Clinic Cancer Center (MCCC), With multiple types 
of molecular and genomic measurements already processed through the Cancer Genome Atlas (TCGA), we 
will develop a centralized database to organize processed level-3 molecular and genomic data, and connect 
these data with a registry database for detailed clinical records, follow-up information, and availability of 
tissue/blood biospecimens. 
Aim 3. Provide support to the Biospecimen and Pathology Core in providing biospecimen resources to the 
research community. Through this support we aim to provide efficient and prompt access to the biospecimen 
resources for HBC investigators. Biospecimen resources will also be connected to data management and 
centralization system described in Aim 2 to facilitate collaboration and data reuse across the HBC SPORE.

## Key facts

- **NIH application ID:** 10468827
- **Project number:** 5P50CA210964-05
- **Recipient organization:** MAYO CLINIC ROCHESTER
- **Principal Investigator:** Jun Yin
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $54,298
- **Award type:** 5
- **Project period:** 2018-09-10 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10468827

## Citation

> US National Institutes of Health, RePORTER application 10468827, Core B: Biostatistics / Bioinformatics (5P50CA210964-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10468827. Licensed CC0.

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