# EBV Genomics and Bioinformatics

> **NIH NIH P01** · WISTAR INSTITUTE · 2024 · $200,214

## Abstract

CORE D – PROJECT SUMMARY
The goal of the EBV Genomics and Bioinformatics Core D will be to provide unified, EBV-centric functional
genomic methodologies and integrative bioinformatics support to all research Projects within the Program. Core
D proposes two Specific Aims: 1) develop and implement functional genomic approaches to study viral and
host genomes and epigenomes using diverse Next Generation Sequencing (NGS) approaches; and 2) provide
bioinformatic support for each Project through a centralize hub responsible for data management, quality control,
analysis, and transfer within the program. The scope of service will include: 1) providing expertise and capabilities
in genomic approaches including mRNA expression by RNA-seq, CHIP- and ATAC-seq library preparations,
DNA methylation studies by RBBS, and HiC ; 2) ensuring seamless coordination of ‘omics’ efforts across projects
as they develop new insights about EBV and performing integrative analyses to combine data from different
experiments across the various projects; and 3) assisting with final reports, abstracts, manuscripts, and future
funding proposals. Core D’s broad, long-term objective is: to provide leading-edge functional genomics and
comprehensive bioinformatics and data management support for the Program members, and proper deposit in
public database repositories.

## Key facts

- **NIH application ID:** 10840335
- **Project number:** 5P01CA269043-02
- **Recipient organization:** WISTAR INSTITUTE
- **Principal Investigator:** Italo Tempera
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $200,214
- **Award type:** 5
- **Project period:** 2023-05-11 → 2028-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10840335

## Citation

> US National Institutes of Health, RePORTER application 10840335, EBV Genomics and Bioinformatics (5P01CA269043-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10840335. Licensed CC0.

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