# Bioinformatics Resource Core

> **NIH NIH P30** · BRIGHAM AND WOMEN'S HOSPITAL · 2020 · $216,108

## Abstract

ABSTRACT
 With the availability of high-dimensional data, the bottleneck in clinical research has shifted from a paucity
of biologic data to a paucity of high quality phenotypic data. The promise of personalized medicine can only be
realized if investigators can study the data of millions of subjects in an integrated dataset containing accurate
phenotypes. Several challenges exist before we can realize this goal. First, robust methods are needed to
integrate different types of data in large populations of patients, including electronic medical record (EMR)
data, patient reported outcomes measures, and genotypic data, into high dimensional datasets. Second, novel
approaches are needed to accurately and efficiently identify patients with specific phenotypes of interest.
Addressing these challenges will allow us to translate the information from high-dimensional datasets to
discoveries that can improve patient care. The overarching goal of the VERITY Bioinformatics Resource Core
is to support the VERITY Research Community to apply state-of-the art bioinformatics methods to enhance
clinical research in pediatric and adult rheumatic and musculoskeletal (MSK) diseases.
 Powerful bioinformatics methods and tools now exist that can provide the infrastructure to standardize and
organize complex data. Consequently, researchers can query across formerly disparate datasets to analyze
and summarize data using new visualization techniques, removing many of the barriers for translational
studies. While these platforms were initially designed for general population studies, we will harness these
tools for rheumatic and MSK disease research. Drawing on experience using high dimensional data for
research, the Core faculty and staff will provide support and guidance to the VERITY Research Community on
the methods and tools to incorporate these approaches to advance clinical research studies through the
following Specific Aims: Aim 1. To establish and customize a state-of-the-art bioinformatics platform to support
rheumatic and MSK clinical data for sharing and collaborative research. Sub-aims include: to establish a
published, open-source bioinformatics platform that standardizes and integrates diverse data types, and allows
users to visualize and query the data in real time; and to forge partnerships between the rheumatic and MSK
clinical research and bioinformatics communities through core consulting services. Aim 2. To provide and
support a suite of bioinformatics tools with direct applications to clinical research studies.
 In sum, the VERITY Bioinformatics Core will establish a state-of-the-art bioinformatics platform for
rheumatic and MSK disease clinical research, applying principles of open-source code and data visualization.
The Core will extend our current work to the Research Community working in different locations on a wide
range of NIAMS-mission driven conditions. Moreover, the research questions arising from VERITY will present
new methodologic chall...

## Key facts

- **NIH application ID:** 10017674
- **Project number:** 5P30AR072577-04
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Katherine Phoenix Liao
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $216,108
- **Award type:** 5
- **Project period:** 2017-09-20 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10017674

## Citation

> US National Institutes of Health, RePORTER application 10017674, Bioinformatics Resource Core (5P30AR072577-04). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10017674. Licensed CC0.

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