# Experimental and Computational Genomics

> **NIH NIH P30** · JOHNS HOPKINS UNIVERSITY · 2022 · $667,339

## Abstract

PROJECT SUMMARY/ABSTRACT
 The Experimental and Computational Genomics (ECGC) Shared Resource (SR) integrates all of the
cancer genomics services in the Sidney Kimmel Comprehensive Cancer Center (SKCCC). The primary
mission of the SR is to allow SKCCC investigators to harness the ongoing revolution in cancer genomics to
accelerate their basic discoveries and translational research. The ECGC SR streamlined services that were
previously offered through three separate SRs: Array, Next-Generation Sequencing and Bioinformatics. The
current structure formalizes a long-standing commitment to integrate computing resources, hiring and
educational activities for the common good of the SKCCC. The SR streamlined access to ECGC technologies
and expertise, and enhanced opportunities for didactic and hands-on education in the experimental and
computational aspects of cancer genomics. The immense laboratory and analytical expertise brought together
in the newly integrated cross-disciplinary SR is now available to all SKCCC investigators. The full suite of
services provided by this SR are not available elsewhere. The ECGC SR has developed a three-tiered
approach to streamline effective project delivery. This SR is led by faculty directors Leslie Cope, Ph.D.; Sarah
Wheelan, M.D., Ph.D.; and Srinavasan Yegnasubramanian, M.D., Ph.D., who bring together multidisciplinary
expertise in genomics technologies, computational biology and biostatistics/bioinformatics. Project
management and day-to-day operations are overseen by Kornel Schuebel, Ph.D., on the lab side and by Yan
Zhang, Ph.D., a new recruit, on the computational side, who supervise all staff members. The ECGC SR
provides access to and education in state-of-the-art, next-generation sequencing, microarray technologies and
analytical workflows for probing genomic alterations, cancer epigenomics, transcriptomics and metagenomics.
For each project, the SR uses a multidisciplinary clinical model to establish and execute an experimental and
analytical plan, first meeting with each investigator and then helping them through all aspects of their genomics
experiments, including experimental design, high-throughput microarray or next-generation sequencing
workflows, and computational/bioinformatics data analysis. Additionally, the SR provides extensive educational
resources, including short courses, workshops and symposia, so that investigators can gain the skills they
need to fully understand and utilize the data and analyses generated. The success of the ECGC SR is
evidenced by the high level of usage across all Programs and the cited support in a large number of impactful
publications, national/international conference abstracts and successful grant applications.
SKCCC Managed Shared Resource
Reporting Period: January 1, 2020 to December 31, 2020

## Key facts

- **NIH application ID:** 10409361
- **Project number:** 2P30CA006973-59
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Srinivasan Yegnasubramanian
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $667,339
- **Award type:** 2
- **Project period:** 1997-05-07 → 2027-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10409361

## Citation

> US National Institutes of Health, RePORTER application 10409361, Experimental and Computational Genomics (2P30CA006973-59). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10409361. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*