Skip Navigation
geWorkbench —
National Cancer Institute   U.S. National Institutes of Health www.cancer.gov
 
Home » Tools » geWorkbench
geWorkbench
 
  • Current Version Number: 1.6.3
  • Release Date of Current Version: 01/2009
  • Currently caGrid Enabled? Yes
  • caBIG™ Compatiblity Level: Not yet determined
    Learn more about compatibility levels
Product Description

geWorkbench provides an innovative, open-source software platform for genomic data integration, bringing together analysis and visualization tools for gene expression, sequences, protein structures, pathways, and other biomedical data. It gives scientists transparent access to a number of external data sources and algorithmic services, combining these with many built-in tools for analysis and visualization (at present more than 40 distinct analysis and visualization modules are part of the platform).

  • Intended Audiences: Biomedical research practitioners
  • Primary Workspace: ICR

Brochures, Presentations, & Demos

geWorkbench introductory video, duration 22 min (wmv file, 45 MB)




Documentation & Training
Access the caBIG™ Learning Management System to learn about
training programs, register for classes, track your progress, and stay
informed about training offerings. We invite you to explore the
catalog to see what is available. You will need to create an account
before registering for classes.

geWorkbench Project Website

Tool Overview Description

Developer’s Webpage

End User Manual

Deployment/Installation Instructions

Training Module

Frequently Asked Questions (FAQ’s)


Tool Download Files

Technical Information

Tool Maturity Assessment: Stable Release (Adoption in Progress)

Installation Level: Intermediate - technical assistance may be required, download may require supporting infrastructure or software

System Requirements: 

geWorkbench is a desktop application providing access to remote data and analysis services. geWorkbench is downloaded as a self-installing package with support for Windows, Linux and MAC OS-X. To achieve reasonable performance when using realistic data sets, a system configuration with at least 2 GB of RAM is recommended.

Developer Institution(s)
 
User Support Resources