Computational Genomics

Overview

The Computational Genomics Facility (CGF) supports the Einstein community by providing essential informatics resources and infrastructure for the analysis and interpretation of large genomic and epigenomic data sets, providing timely and standardized delivery of data to investigators, and organizing and presenting tutorials for data retrieval and analysis using the provided tools and methodologies. The CGF develops primary analysis pipelines, analysis and visualization tools for application-specific handling of data using open-source and commercial analysis tools. All tools are 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: assistance for researchers and core facilities with the development of reproducible, accurate and time-saving pipelines and workflows for analysis of genome-scale experimental data
  • Consultation: working with investigators to provide access to the appropriate tools for analysis of their data
  • Training: aid for investigators in the analysis of their own data through tutorials covering software and analysis methodologies

Location and Contacts

Computational Genomics

Price Center/Block Research Pavillion 353

 
 
 

Scientific Director
John Greally, M.B., Ph.D.
718.678.1234
john.greally@einstein.yu.edu

Operations Director
Brent Calder, BA
718.678.1154
brent.calder@einstein.yu.edu

Administrator
Amy Vargas
718.678.1169
amy.vargas@einstein.yu.edu