# Core 2: Computational Core

> **NIH NIH P01** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $226,354

## Abstract

SUMMARY
The overarching goal of the Computational Core is to provide robust and reproducible analysis of high-
throughput genomic (WES), epigenomic (ChIP-seq, ATAC-seq, WGBS and RRBS), chromatin conformation
(Hi-C and 4C) and transcriptomic (RNA-seq and single-cell RNA-seq) data using a variety of established
computational workflows, methods and tools. All genomics data will be uniformly processed by HiC-bench, our
recently published computational platform. The Computational Core will provide start-to-finish standardization
of the analysis of sequencing datasets, rigorous data quality assessment, integration and visualization, as well
as statistical expertise. The results of the bioinformatics analyses conducted in the Core will be utilized by all
three Projects, using the sharable workflows of our computational platform. Finally, the bioinformatics staff will
setup a web interface for the data and analyses, accessible to all members of the proposed study. This web
interface will also facilitate data sharing with the broader scientific community and the public when our studies
are published.

## Key facts

- **NIH application ID:** 9952349
- **Project number:** 5P01CA229086-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Aristotelis Tsirigos
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $226,354
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9952349

## Citation

> US National Institutes of Health, RePORTER application 9952349, Core 2: Computational Core (5P01CA229086-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9952349. Licensed CC0.

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