GeWorkbench

{{Short description|Genomic data analysis software}}

{{lowercase title}}

{{Infobox software

| name = geWorkbench

| logo = GeworkbenchLogo.png

| logo size = 250px

| screenshot =

| caption =

| developer = Columbia University,
First Genetic Trust
National Cancer Institute

| released = {{Start date and age|2004}}

| latest release version = 2.6.0.3

| latest release date = {{Start date and age|2016|12|21}}

| programming language =

| operating system = Windows, Linux, Mac OS X

| platform = x86

| language = English

| genre = Genome data analysis

| license = BSD-like[http://wiki.c2b2.columbia.edu/workbench/index.php/GeWorkbench_License geWorkbench license]

| website = {{URL|www.geworkbench.org}}

}}

geWorkbench{{Cite journal

| last1= Floratos |first1= A.

| last2= Smith |first2= K.

| last3= Ji |first3= Z.

| last4= Watkinson |first4= J.

| last5= Califano |first5= A.

| title= GeWorkbench: An open source platform for integrative genomics

| doi= 10.1093/bioinformatics/btq282

| journal= Bioinformatics

| volume= 26

| issue= 14

| pages= 1779–1780

| year= 2010

| pmid= 20511363

| pmc =2894520

}} (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}}, there are more than 70 plug-ins{{Cite web|url=http://wiki.c2b2.columbia.edu/workbench/index.php/Plugins|title=Plugins - Workbench}} available, providing for the visualization and analysis of gene expression, sequence, and structure data.

geWorkbench is the Bioinformatics platform of MAGNet,[http://magnet.c2b2.columbia.edu/ MAGNet] the National Center for the Multi-scale Analysis of Genomic and Cellular Networks, one of the 8 National Centers for Biomedical Computing{{cite web |url=http://www.ncbcs.org/ |title=Home |website=ncbcs.org}} funded through the NIH Roadmap (NIH Common Fund{{Cite web |url=http://commonfund.nih.gov/researchteams |title=NIH Roadmap - Research Teams of the Future |access-date=2013-07-16 |archive-url=https://web.archive.org/web/20130621191343/https://commonfund.nih.gov/researchteams/ |archive-date=2013-06-21 |url-status=dead }}). Many systems and structure biology tools developed by MAGNet investigators are available as geWorkbench plugins.

Features

  • Computational analysis tools such as t-test, hierarchical clustering, self-organizing maps, regulatory network reconstruction, BLAST searches, pattern-motif discovery, protein structure prediction, structure-based protein annotation, etc.
  • Visualization of gene expression (heatmaps, volcano plot), molecular interaction networks (through Cytoscape), protein sequence and protein structure data (e.g., MarkUs).
  • Integration of gene and pathway annotation information from curated sources as well as through Gene Ontology enrichment analysis.
  • Component integration through platform management of inputs and outputs. Among data that can be shared between components are expression datasets, interaction networks, sample and marker (gene) sets and sequences.
  • Dataset history tracking - complete record of data sets used and input settings.
  • Integration with 3rd party tools such as GenePattern, Cytoscape, and Genomespace.

Demonstrations of each feature described can be found at GeWorkbench-web Tutorials.[http://wiki.c2b2.columbia.edu/workbench/index.php/Tutorials GeWorkbench-web Tutorials]

Versions

  • geWorkbench is open-source software that can be downloaded and installed locally. A zip file of the released version Java source is also available.
  • Prepackaged installer versions also exist{{Cite web|url=http://wiki.c2b2.columbia.edu/workbench/index.php/Download_and_Installation|title=Download and Installation - Workbench}} for Windows, Macintosh, and Linux.

References

{{Reflist}}