Journal Article

geWorkbench: an open source platform for integrative genomics

Aris Floratos, Kenneth Smith, Zhou Ji, John Watkinson and Andrea Califano

in Bioinformatics

Volume 26, issue 14, pages 1779-1780
Published in print July 2010 | ISSN: 1367-4803
Published online May 2010 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btq282
geWorkbench: an open source platform for integrative genomics

Show Summary Details

Preview

Summary: geWorkbench (genomics Workbench) is an open source Java desktop application that provides access to an integrated suite of tools for the analysis and visualization of data from a wide range of genomics domains (gene expression, sequence, protein structure and systems biology). More than 70 distinct plug-in modules are currently available implementing both classical analyses (several variants of clustering, classification, homology detection, etc.) as well as state of the art algorithms for the reverse engineering of regulatory networks and for protein structure prediction, among many others. geWorkbench leverages standards-based middleware technologies to provide seamless access to remote data, annotation and computational servers, thus, enabling researchers with limited local resources to benefit from available public infrastructure.

Availability: The project site (http://www.geworkbench.org) includes links to self-extracting installers for most operating system (OS) platforms as well as instructions for building the application from scratch using the source code [which is freely available from the project's SVN (subversion) repository]. geWorkbench support is available through the end-user and developer forums of the caBIG® Molecular Analysis Tools Knowledge Center, https://cabig-kc.nci.nih.gov/Molecular/forums/

Contact: geworkbench@c2b2.columbia.edu

Supplementary Information: Supplementary data are available at Bioinformatics online.

Journal Article.  1237 words. 

Subjects: Bioinformatics and Computational Biology

Full text: subscription required

How to subscribe Recommend to my Librarian

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.