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.

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.

Contact

Please email support@einsteincgc.freshdesk.com to submit an analysis request. 

Personnel

Faculty Advisor
John Greally, M.B., PhD
718.678.1234
john.greally@einstein.yu.edu 

Director
Brent Calder
718.839.7225
brent.calder@einstein.yu.edu 

  

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.

 

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News & Events

News | Promotion

Dr. Ertugrul Ozbudak has received a promotion. read more

 

News | Tenure

Dr. John Greally, a Professor in the Department of Genetics, has received tenure. read more

 

News | John Greally Nomination

Dr. John Greally, Professor in the Department of Genetics, has been nominated for an award. read more

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