Developer(s) |
Columbia University, First Genetic Trust National Cancer Institute |
---|---|
Initial release | 2004 |
Stable release | 2.6.0.3
/ December 21, 2016 |
Operating system | Windows, Linux, Mac OS X |
Platform | x86 |
Available in | English |
Type | Genome data analysis |
License | BSD-like [1] |
Website |
www |
geWorkbench [2] (genomics Workbench) is an open-source software platform for integrated genomic data analysis. It is a desktop application written in the programming language Java. geWorkbench uses a component architecture. As of 2016 [update], there are more than 70 plug-ins [3] available, providing for the visualization and analysis of gene expression, sequence, and structure data.
geWorkbench is the Bioinformatics platform of MAGNet, [4] the National Center for the Multi-scale Analysis of Genomic and Cellular Networks, one of the 8 National Centers for Biomedical Computing [5] funded through the NIH Roadmap ( NIH Common Fund [6]). Many systems and structure biology tools developed by MAGNet investigators are available as geWorkbench plugins.
Demonstrations of each feature described can be found at GeWorkbench-web Tutorials.
Developer(s) |
Columbia University, First Genetic Trust National Cancer Institute |
---|---|
Initial release | 2004 |
Stable release | 2.6.0.3
/ December 21, 2016 |
Operating system | Windows, Linux, Mac OS X |
Platform | x86 |
Available in | English |
Type | Genome data analysis |
License | BSD-like [1] |
Website |
www |
geWorkbench [2] (genomics Workbench) is an open-source software platform for integrated genomic data analysis. It is a desktop application written in the programming language Java. geWorkbench uses a component architecture. As of 2016 [update], there are more than 70 plug-ins [3] available, providing for the visualization and analysis of gene expression, sequence, and structure data.
geWorkbench is the Bioinformatics platform of MAGNet, [4] the National Center for the Multi-scale Analysis of Genomic and Cellular Networks, one of the 8 National Centers for Biomedical Computing [5] funded through the NIH Roadmap ( NIH Common Fund [6]). Many systems and structure biology tools developed by MAGNet investigators are available as geWorkbench plugins.
Demonstrations of each feature described can be found at GeWorkbench-web Tutorials.