# Core 2: Data Analysis and Translational Application Core

> **NIH NIH P50** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2021 · $342,709

## Abstract

The Data Analysis and Translational and Translational Applications Core (DATA Core) of the 
AACORT was established to 1) provide a core center for standardized computational and 
bioinformatic analysis of human high-throughput sequencing data, and 2) provide an infrastructure 
for the standardized annotation, storage, and sharing of high-dimensional, patient matched data. As 
the AACORT pursues translational research on new-onset Alopecia Areata patients, the Resource 
Project Members will need a standardized manner of accessing and analyzing the data to ensure 
efficient use of the resources. The DATA Core will provide these services, tailoring data analysis to 
the needs of the Research Project. It will also serve as an interface with the TRAC Core, which will 
primarily be responsible for the clinical aspects of patient acquisition and sample processing. 
Biosamples acquired through the clinical arms of the TRAC Core will be processed for 
corresponding sequencing services, and the data and all clinical annotations will be passed to the 
DATA Core for processing, storage, and subsequent analysis. Additionally, the DATA Core will 
collaborate with the TRAC Core in the subsequent design of pilot experiments and research 
projects to ensure proper experimental design that provides proper power for the computational 
analyses. In terms of specific services, the DATA Core and its personnel are equipped both by 
training and in facilities, to handle a broad spectrum of data including: genotyping/exome 
sequencing, transcriptomics and regulatory modeling, and immunoproteomics/protein structure 
analysis. This will include somatic variant identification, targeted exome sequencing, biomarker 
development, master regulatory analysis and network-based drug predictions. It will further include 
immunotyping for antigen and TCR sequencing, computational antigen predictions, and leveraging 
of single-cell sequencing for pathogenic immune cells. We have assembled a highly trained, 
multidisciplinary team of scientists and Investigators at the Columbia University Medical Campus in 
Systems Biology, Biophysics, and Computer Science to complement the biological, clinical and 
immunological expertise of the other modules of the AACORT. We further have the support of 
Columbia Core Facilities, as well as the extensive computational infrastructure of the Center for 
Computational Biology and Bioinformatics and the Department of Systems Biology to facilitate the 
storage and analysis of our data.

## Key facts

- **NIH application ID:** 10091981
- **Project number:** 5P50AR070588-05
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Aris Floratos
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $342,709
- **Award type:** 5
- **Project period:** 2016-09-16 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10091981

## Citation

> US National Institutes of Health, RePORTER application 10091981, Core 2: Data Analysis and Translational Application Core (5P50AR070588-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10091981. Licensed CC0.

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