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(→‎Brief Overview of Major Changes in Upcoming geWorkbench Release 2.4.0)
 
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==Quick Start==
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__NOTOC__
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Please see the [[QuickStart| '''Quick Start''']] guide to geWorkbench to see how to get started using geWorkbench right away.
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==Notice on updating of geWorkbench tutorials for release 2.4.0==
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[[Image:geworkbench_banner.png]]
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geWorkbench 2.4.0 will be released on July 23rd, 2012.  All tutorials affected by changes in 2.4.0 have been updated ahead of the release.  Therefore, you may see features mentioned which are not present in release 2.3.0.
 
  
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==Brief Overview of Major Changes in Upcoming geWorkbench Release 2.4.0==
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{|  class="wikitable" style="background-color:#F8EDD6;" cellpadding="10" width="700px"
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|colspan="2"|
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Projected release date: July 23, 2012
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<h2>Overview</h2>
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'''geWorkbench''' (<u>ge</u>nomics <u>Workbench</u>) is a Java-based open-source platform for integrated genomics.  Using a component architecture it allows individually developed plug-ins to be configured into complex bioinformatic applications. At present there are more than 70 available [[Plugins|plug-ins]] supporting the visualization and analysis of gene expression and sequence data. Example use cases include: <toggledisplay status="hide">
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* '''Significance Analysis of Microarrays (SAM)''' - An interface to an R implementation of SAM has been added.  The user can choose an instance of R running on his or her own desktop, or access a remote grid service version with proper authorization.
 
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* '''Master Regulator Analysis''' - Major updates have been made to the MRA component. 
 
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** The FET-based method now has the option of performing two FET runs on orthogonal slices of the data to determine the regulatory mode of the candidate master regulators.
 
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** The graphical result display has been completely updated.  It now can display multiple bar graphs for multiple master regulator candidates, and uses a rank based ordering of the bars rather than the t-statistic value. 
 
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* '''SkyBase''' - Adds access to the much larger PDB-60 database of homology model structures.  As of 7/19/2012, the databases have:
 
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** PDB60: 12,264 structures, 7,804,258 models.
 
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** NESG: 946 structures, 1,943,390 models.
 
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*  '''Affymetrix Human Gene 1.0 ST whole-transcript''' and '''Human Exon 1.0 ST annotation files''' - support has been added for these Affymtrix annotation files.
 
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* '''caArray''' - The interface to caArray can now query the newly released caArray version 2.5. However, it is not backward compatible with caArray 2.4 or earlier.
 
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* '''t-test''' - The t-test is now calculated using the Apache Commons Math Library. P-values may show slight changes due to improved precision.
 
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Some, but not all, known incompatibilities with Java 7 have been corrected.  geWorkbench 2.4.0 is only intended for use with Java 6.
 
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==Current Release==
 
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Welcome to '''geWorkbench'''.  The current version is 2.3.0, released March 16th, 2012.'''
 
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View the [[Media:GeWorkbench_v2.3.0_ReleaseNotes.txt|geWorkbench 2.3.0 Release Notes]].
 
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geWorkbench can be downloaded from the NCI GForge site at https://gforge.nci.nih.gov/frs/?group_id=78.  Installation instructions can be found on the [[Download | Download and Installation]] page of this Wiki.  The Release Notes are also available on [https://gforge.nci.nih.gov/frs/shownotes.php?release_id=4320 GForge].
 
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==Overview==
 
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'''geWorkbench''' (<u>ge</u>nomics <u>Workbench</u>) is a Java-based open-source platform for integrated genomics.  Using a component architecture it allows individually developed plug-ins to be configured into complex bioinformatic applications. At present there are more than 70 available [[Plugins|plug-ins]] supporting the visualization and analysis of gene expression and sequence data. Example use cases include:
 
 
* loading data from local or remote data sources.
 
* loading data from local or remote data sources.
 
* visualizing gene expression, molecular interaction networks, protein sequence and protein structure data in a variety of ways.
 
* visualizing gene expression, molecular interaction networks, protein sequence and protein structure data in a variety of ways.
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* validating computational hypothesis through the integration of gene and pathway annotation information from curated sources as well as through Gene Ontology enrichment analysis.
 
* validating computational hypothesis through the integration of gene and pathway annotation information from curated sources as well as through Gene Ontology enrichment analysis.
 
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geWorkbench is the Bioinformatics platform of [http://magnet.c2b2.columbia.edu MAGNet], the '''National Center for the Multi-scale Analysis of Genomic and Cellular Networks''' (one of the [http://www.ncbcs.org 7 National Centers for Biomedial Computing] funded through the [http://nihroadmap.nih.gov/ NIH Roadmap]). Additionally, geWorkbench is supported by [https://cabig.nci.nih.gov/ caBIG<sup>&reg;</sup>, NCI's cancer Biomedical Informatics Grid initiative].
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geWorkbench is the Bioinformatics platform of [http://magnet.c2b2.columbia.edu MAGNet], the '''National Center for the Multi-scale Analysis of Genomic and Cellular Networks''' (one of the [http://www.ncbcs.org 7 National Centers for Biomedial Computing] funded through the [http://nihroadmap.nih.gov/ NIH Common Fund]).  
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In the past, geWorkbench has received support from [https://cabig.nci.nih.gov/ caBIG<sup>&reg;</sup>, NCI's cancer Biomedical Informatics Grid initiative].
  
 
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End-user and developer support for geWorkbench is provided through the caBIG<sup>&reg;</sup> [https://cabig-kc.nci.nih.gov/Molecular/KC/index.php/Main_Page Molecular Analysis Tools Knowledge Center], a component of the caBIG<sup>&reg;</sup> [https://cabig.nci.nih.gov/esn/ Enterprise Support Network].
 
End-user and developer support for geWorkbench is provided through the caBIG<sup>&reg;</sup> [https://cabig-kc.nci.nih.gov/Molecular/KC/index.php/Main_Page Molecular Analysis Tools Knowledge Center], a component of the caBIG<sup>&reg;</sup> [https://cabig.nci.nih.gov/esn/ Enterprise Support Network].
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</toggledisplay>
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|-
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| style="width: 50%; background-color: #F2F8C7;"|
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<h2>Quick Start</h2>
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Please see the [[QuickStart| Quick Start]] guide to geWorkbench to see how to get started using geWorkbench right away.
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| style="width: 50%; background-color: #C7F8CB;"|
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<h2>Current Release</h2>
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The latest production version of geWorkbench (v2.6.0.3) was released on December 21, 2016.
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* [[Release_Descriptions#Brief_overview_of_changes_in_geWorkbench_release_2.6.0|See changes included in latest release]].
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* [[Release_Descriptions|See history of past releases]].
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* [[Download_and_Installation|Download geWorkbench]].
  
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==Graphical User Interface==
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<h2>Web-enabled Version</h2>
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[[Image:GeWorkbench_2.3.0_Main_Cytoscape_with_frame.png]]
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[[GeWorkbench-web/Overview|'''geWorkbench-web''']] provides installation-free access to the geWorkbench plug-ins through a pure browser interface. You can create and account and access the application at: http://geworkbench.c2b2.columbia.edu/geworkbench/.  
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|}
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The figure above shows the full geWorkbench graphical user interface.  The Cellular Network Knowledge Base B-cell interactome was queried for interactions of two master regulator genes, and the result displayed in Cytoscape.
 
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==Brief Overview of Changes in geWorkbench 2.3.0==
 
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Release Date: March 16, 2012
 
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geWorkbench v2.3.0 introduces significant improvements in responsiveness and memory usage, and a streamlining of the
 
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graphical interface to make using analysis, filtering, normalization and visualization components much easier. 
 
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* The analysis, filtering and visualization components are now reached through a right-click menu directly on the data node, or through the commands menu in the upper menu bar.  This allowed the removal of the dedicated "commands" area from the geWorkbench graphical interface, making more room available for the display of results.
 
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* Switching back and forth between large data nodes is now much faster.
 
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* caArray downloads have been speeded up dramatically, and memory problems that limited the number of arrays that could be downloaded were resolved. We have test-downloaded 527 arrays of type Affymetrix HT_HG-U133A in 16 minutes with no memory problems.
 
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* Dynamic search for marker and gene names has been added to all filtering components.
 
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* A number of data and result export options have been added. Microarray data can now be exported to a tab-delimited file directly, or from the tabular viewer, allowing subsets of the data to be exported.
 
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* Interactomes stored in the Cellular Network Knowledge Base can now be exported directly into the Project Folders component.
 
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* A new component, IDEA (Interactome Dysregualtion Enrichment Analysis), is included.
 
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==Previous Releases==
 
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See the [[PreviousReleases | Previous Releases]] page for full details.
 

Latest revision as of 16:47, 2 March 2022


Geworkbench banner.png

Overview

geWorkbench (genomics Workbench) is a Java-based open-source platform for integrated genomics. Using a component architecture it allows individually developed plug-ins to be configured into complex bioinformatic applications. At present there are more than 70 available plug-ins supporting the visualization and analysis of gene expression and sequence data. Example use cases include: [show details]

Quick Start

Please see the Quick Start guide to geWorkbench to see how to get started using geWorkbench right away.

Current Release

The latest production version of geWorkbench (v2.6.0.3) was released on December 21, 2016.

Web-enabled Version

geWorkbench-web provides installation-free access to the geWorkbench plug-ins through a pure browser interface. You can create and account and access the application at: http://geworkbench.c2b2.columbia.edu/geworkbench/.

Retrieved from "http://wiki.c2b2.columbia.edu/workbench/index.php?title=Home&oldid=13233"