Department of Genetics

Computational Genomics Core

Mission

The Computational Genomics Core (CGC) supports the Einstein community by providing essential informatics resources and infrastructure for the analysis and interpretation of large genomic and epigenomic datasets, providing for timely and standardized delivery of data to investigators, and to organize and present tutorials for data retrieval and analysis using the provided tools and methodologies. The CGC will develop primary analysis pipelines, analysis and visualization tools for application-specific handling of data using open-source and commercial analysis tools. All tools will be maintained and deployed in a manner that optimally supports the research activities of individual investigators. The CGC provides support pipelines for massively parallel sequencing based assays provided by the Epigenomics Shared Facility (ESF) and the Genomics core. For a list of available assays please click here.

Services

  • Data management: storage and delivery of large genomic data sets.
  • Data analysis: primary and secondary interpretation of microarrays and next-generation sequencing data.
  • Pipeline development: assist researchers and core facilities with the development of reproducible, accurate and time-saving pipelines and workflows for analysis of genome-scale experimental data.
  • Consultation: work with investigators to provide access to the appropriate tools for analysis of their data.
  • Training: to aid investigators in the analysis of their own data through tutorials covering software and analysis methodologies.

Fees

Individuals will receive a first hour of consultation with a bioinformaticist without charge. Subsequent work will be charged at a rate of $125/hour ($150/hour external). Ongoing or long-term consultation will be eligible for negotiation of a lower hourly rate.

Access Services

To learn more about massively parallel sequencing based assays and associated primary analysis please consult this page. For custom analysis, the Computational Genomics core uses iLab for project submissions and billing. Einstein and Montefiore users should log-in to the system as internal users with their active directory credentials. External customers should sign-up for an account. Please see our iLab help and support page for user guides and more information about iLab.

Personnel

Faculty Advisor
John Greally, M.B., Ph.D.
718.678.1234
john.greally@einsteinmed.org 

Operations Director
Fabien Delahaye, Ph.D.
718.678.1280
fabien.delahaye@einsteinmed.org 

Bioinformatician
Xusheng Zhang, M.S.
xusheng.zhang@einsteinmed.org 

Bioinformatician
Robert Dubin, Ph.D.
robert.dubin@einsteinmed.org 

 

  

Selected Publications

R. F. Thompson, M. Suzuki, K. W. Lau, and J. M. Greally. A pipeline for the quantitative analysis of CG dinucleotide methylation using mass spectrometry. Bioinformatics, 25(17):2164–70, Sep 2009.

R. F. Thompson, M. Reimers, B. Khulan, M. Gissot, T. A. Richmond, Q. Chen, X. Zheng, K. Kim, and J. M. Greally. An analytical pipeline for genomic representations used for cytosine methylation studies. Bioinformatics, 24(9):1161–7, May 2008.

R. B. Calder, R. B. Beems, H. van Steeg, I. S. Mian, P. H. M. Lohman, and J. Vijg. MPHASYS: a mouse phenotype analysis system. BMC Bioinformatics, 8:183, 2007.

 

Quick Links

 

News & Events

News | Drug Discovery News Interview

Dr. Nick Baker was recently interviewed by Drug Discovery News. read more

 

Event | 2/16/2022 9:00 AM

Virtual Event

10th Annual Human Genetics in NYC Meeting Hosted by Dr. J. Greally of Albert Einstein College of Medicine Keynote lecture by Dr. C. Seidman of Harvard Medical School read more

 

News | New Book by Jean Hébert

Jean Hébert, Professor of Neuroscience and Genetics, has recently published a book, Replacing Aging. read more

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