Difference between revisions of "Plugins"
 
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The geWorkbench platform employs a component repository infrastructure to manage a large collection of pluggable components that can be used to customize the application's graphical user interface. This (ever growing) list of plug-in components covers a wide range of fucntionality for a number of different genomic data modalities.
 
The geWorkbench platform employs a component repository infrastructure to manage a large collection of pluggable components that can be used to customize the application's graphical user interface. This (ever growing) list of plug-in components covers a wide range of fucntionality for a number of different genomic data modalities.
 +
 +
The Status of the pluggable components below is defined as:
 +
 +
 +
{|style="border: 1px solid lightGray"
 +
!Status||Comment
 +
|-
 +
|-
 +
|width="120"|(a) Released||This plugin is part of the latest geWorkbench version.
 +
|-
 +
|width="120"|(b) Development||This plugin is currently actively being developed.
 +
|-
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|-
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|}
  
  
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==Analysis==
 
==Analysis==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|ANOVA||Released||Analysis of Variance - detection of significant differences in expression between more than two groups.
+
|width="150"|ANOVA||Released||Analysis of Variance - detection of significant differences in expression between more than two groups. ([[media:T_ANOVA_ColorMosaic.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Evidence Integration||Development||
+
|width="150"|Evidence Integration||Development||A sequence and structure-based approach for functional annotation and protein-protein interaction analysis.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Hierarchical Clustering||Released||Clustering of markers and microarrays into hierarchical binary trees. The resulting structures can be visualized in the Dendrogram plugin.
+
|width="150"|GSEA||Released||The Gene Set Enrichment Analysis determines whether an a priori defined set of genes shows statistically significant differences between two phenotypes.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|KNN||Released||k-Nearest Neighbors analysis (from GenePattern).
+
|width="150"|Hierarchical Clustering||Released||Clustering of markers and microarrays into hierarchical binary trees. The resulting structures can be visualized in the Dendrogram plugin. ([[media:T_HC_Dendrogram_display.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Mark-Us||Released||Assesses the biochemical function for a given protein structure.
+
|width="150"|KNN||Released||k-Nearest Neighbors analysis (a GenePattern component).
 
|-
 
|-
 
|-
 
|-
−
|width="150"|MatrixReduce||Released||Transcription Factor binding motifs.
+
|width="150"|MatrixReduce||Released||Transcription Factor binding motifs. ([[media:T_MatrixREDUCE_PSAM_view.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|MEDUSA||Development||The Motif Element Detection Using Sequence Agglomeration is an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data (Leslie Lab at MSKCC).
+
|width="150"|MEDUSA||Development||The Motif Element Detection Using Sequence Agglomeration is an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data (Leslie Lab, MSKCC).
 
|-
 
|-
 
|-
 
|-
−
|width="150"|MRA||Released||Master Regulator Analysis combines regulatory information from interaction networks with differential expression analysis.
+
|width="150"|MRA||Released||Master Regulator Analysis combines regulatory information from interaction networks with differential expression analysis. ([[media:MRA_viewer_full.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|PCA||Released||Principal Component Analysis (from GenePattern).
+
|width="150"|PCA||Released||Principal Component Analysis (a GenePattern component).
 +
|-
 
|-
 
|-
 +
|width="150"|SOM||Released||Clustering of markers using Self Organizing Maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin. ([[media:T_SOM_result.png|Screenshot]])
 
|-
 
|-
−
|width="150"|Pudge||Released ||Computational protein structure prediction using sequence homology. It integrates tools used at different stages of the structural prediction process.
 
−
|-
 
 
|-
 
|-
−
|width="150"|SkyBase||Development||Database of protein structure models produced by SkyLine based on structures solved by the NESG structural genomics consortium.
+
|width="150"|SVM 3.0||Released||The Support Vector Machine is a supervised classification method that computes a maximal separating hyperplane between the expression vectors of different classes or phenotypes (a GenePattern component).
−
|-
+
|-
 +
|-
 +
|width="150"|T-Test||Released||Identification of markers with statistically significant differential expression between sets of microarrays. ([[media:T_t-test_volcano_BCELL_webm_qldm.png|Screenshot Plot]], [[media:T_t-test_colormosaic_BCELL_webm_qldm.png|Screenshot Mosaic]])
 +
|-
 +
|-
 +
|width="150"|Weighted Voting||Released||Weighted Voting Analysis (a GenePattern component).
 +
|-
 +
|-
 +
|}
 +
 
 +
 
 +
==Annotation==
 +
 
 +
{|class = "wikitable" style="border: 1px solid lightGray"
 +
!Plugin||Status||Description
 +
|-
 +
|-
 +
|width="150"|caScript||Development||An Editor.
 +
|-
 +
|-|width="150"|Dataset Annotation||Released||Free text format box used to annotate data, images and results. Such annotations persist application invocations and can be used as an online notebook.
 
|-
 
|-
−
|width="150"|SkyLine||Development||Automated high-throughput pipeline for reverse homology-based comparative protein structure modeling based on the input template structure.
 
−
|-
 
 
|-
 
|-
−
|width="150"|SOM||Released||Clustering of markers using Self Organizing Maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin.
+
|width="150"|Dataset History||Released||Log of data transformations induced by data-modifying operations.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|SVM||Released||Support Vector Machine is a supervised classification method that computes a maximal separating hyperplane between the expression vectors of different classes or phenotypes (from GenePattern).
+
|width="150"|Experiment Information||Released||Microarray machine parameters used in an experiment run. If available, high-level experiment information (e.g., purpose of of experiment) are also displayed.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|T-Test||Released||Identification of markers with statistically significant differential expression between sets of microarrays. ([[media:Volcanoplot.png|screenshot]]).
+
|width="150"|Gene Ontology Enrichment||Released||Enrichment analysis of selected groups of genes against Gene Ontology (http://www.geneontology.org) annotations. ([[media:T_GO_Terms_TableBrowser_Gene_Detail.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Weighted Voting||Released||Weighted Voting Analysis (from GenePattern).
+
|width="150"|Marker Annotations||Released||Retrieval of gene and pathway information for markers on a microarray (caBIO Pathways/Cancer Gene Index); it includes visualization of BioCarta pathway diagrams. ([[media:GeWB_Marker_Annotations.png|Screenshot Table]], [[media:GeWB_Marker_Annotations_Pathway.png|Screenshot BioCarta]], [[media:GeWB_Marker_Annotations_CGI.png|Screenshot CGI]])
 
|-
 
|-
 
|-
 
|-
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−
==Annotation==
+
==Data Filtering==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Dataset Annotation||Released||Free text format box used to annotate data, images and results. Such annotations persist application invocations and can be used as an online "lab notebook.
+
|width="150"|Affy Detection Call Filter||Released||Filtering of measurements based on the value of their "detection call" attribute ''(Affymetrix data only)'' .
 +
|-
 
|-
 
|-
 +
|width="150"|Deviation Filter||Released||Filtering of markers with low dynamic range.
 
|-
 
|-
−
|width="150"|Dataset History||Released||Log of data transformations induced by data-modifying operations.
+
|-
 +
|width="150"|Expression Threshold Filter||Released||Elimination of measurements that fall outside a range of explression values.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Experiment Information||Released||Microarray machine parameters used in an experiment run. If available, high-level experiment information (e.g., purpose of of experiment) are also displayed.
+
|width="150"|2-channel Threshold Filter||Released||Same as "Expression Threshold" filter but different threshold ranges can be specified for each channel ''(GenePix data only)''.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Gene Ontology||Released||Enrichment analysis of selected groups of genes against Gene Ontology (http://www.geneontology.org) annotations ([[media:Go_Terms_Panel.png|screenshot]]).
+
|width="150"|Genepix Flag Filter||Released||Filtering of measurements based on the value of their "Flags" attribute ''(GenePix data only)''.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Marker Annotations||Released||Retrieval of gene and pathway information for markers on a microarray.  Includes visualization of BioCarta pathway diagrams ([[media:Cabiopathway.png|screenshot]]).
+
|width="150"|Missing Value Filter||Released||Discards all markers that have missing  measurements in more than a user specified number N of microarrays.
 
|-
 
|-
 
|-
 
|-
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==Data Management==
 
==Data Management==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Marker Component ||Released||Definition of data views consisting of marker subgroups. The views control the amount of data displayed.
+
|width="150"|Arrays/Phenotypes||Released||Definition of data views consisting of microarray subgroups. The views control the amount of data displayed. ([[media:T_t-test_Arrays_case-set_BCELL_webm_qldm.png|Screenshot]])
−
|-
+
|-
 
|-
 
|-
−
|width="150"|Phenotype/Array Component ||Released||Definition of data views consisting of microarray subgroups. The views control the amount of data displayed.
+
|width="150"|caArray||Released||Search and download of gene expression data from instances of caArray (NCI microarray database product). ([[media:T_caArray_A549_arrays.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Project Component ||Released||Manages projects and workspaces of the user.
+
|width="150"|Markers||Released||Definition of data views consisting of marker subgroups. The views control the amount of data displayed. ([[media:Select_marker_sets.png|Screenshot]])
 +
|-
 +
|-
 +
|width="150"|Project Folders||Released||Manages projects and workspaces of the user. ([[media:T_ANOVA_Saved_Color_Mosaic_View.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
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−
==Filtering==
+
==File Import==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Affy Detection Call||Released||(''Affymetrix data only)'' Filtering of measurements based on the value of their "detection call" attribute.
+
|width="150"|Affymetrix CEL||Released||Loads Affymetrix probe CELl intensity files ("*.cel").
 +
|-
 +
|-
 +
|width="150"|Affymetrix File Matrix||Released|| Loads Affymetrix EXPperiment files ("*.exp").
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Deviation Filter||Released|| Filtering of markers with low dynamic range.
+
|width="150"|Affymetrix MAS5/GCOS||Released|| Loads output files from the GeneChip Operating Software formerly known as MAS5 Statistical algorithm (several different file extension).
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Expression Threshold||Released|| Elimination of measurements that fall outside a range of explression values.
+
|width="150"|FASTA Format||Released||Loads files that are in FASTA format ("*.fasta" and "*.txt").
 
|-
 
|-
 
|-
 
|-
−
|width="150"|2-channel Threshold||Released||(''Genepix data only)'' Same as "Expression Threshold" filter but different threshold ranges can be specified for each channel.
+
|width="150"|Genepix File Format||Released||Loads files in GenePix Result format ("*.gpr").
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Genepix Flag Filter||Released|| ''(Genepix data only)'' Filtering of measurements based on the value of their "Flags" attribute.
+
|width="150"|PDB Structure Format||Released||Loads files in the Protein Data Base format ("*.pdb")
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Missing Value Filter||Released|| Discards all markers that have missing  measurements in more than a user specified number N of microarrays.
+
|width="150"|Tab-delimited (RMA Express Format)||Released||Loads tab-delimited files from the Robust Multichip Analysis ("*.txt")
 
|-
 
|-
 
|-
 
|-
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−
==Network Generation, Networking==
+
==Menu Tools==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|ARACNe||Released||The Algorithm for the Reconstruction of Accurate Cellular Networks analyses large amount of microarray data (typically 100-500 microarrays) to reverse engineer underlying gene regulatory networks ([[media:Reverseengineering.png|screenshot]]).
+
|width="150"|CCM||Released||The Component Configuration Manager allows users to manage plugins dynamically at any given time in the application environment. ([[Media:CCM_Main.png|Screenshot]])
 +
|-
 +
|-
 +
|width="150"|genSpace||Released||It logs information about the analysis tools used in geWorkbench in order to enable collaboration support for the geWorkbench users.
 +
|-
 +
|-
 +
|width="150"|Online Help||Released||geWorkbench Online Help uses the Java help 2.0 system to provide real-time help on component questions.
 +
|-
 +
|-
 +
|width="150"|Preferences||Released||Allows users to predefine a few basic visual settings and choose a Text Editor.
 +
|-
 +
|-
 +
|width="150"|Version Information||Released||Provides basic information about the currently installed user version of geWorkbench.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|caArray||Released||Search and download of gene expression data from instances of caArray (NCI microarray database product).
+
|width="150"|Welcome Screen||Released||Introduction to geWorkbench during the initial opening of the application.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Cancer GEMS||Development||Interface to the NCI Cancer Genetic Markers of Susceptibility project.
+
|}
 +
 
 +
 
 +
==Network Generation==
 +
 
 +
{|class = "wikitable" style="border: 1px solid lightGray"
 +
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Cellular Networks Knowledge Base||Released||Queries a local database housed at Columbia University which combines locally generated B-cell interaction network data with information from external databases. Builds a network of interactions for selected genes.
+
|width="150"|ARACNe||Released||The Algorithm for the Reconstruction of Accurate Cellular Networks analyses large amount of microarray data (typically 100-500 microarrays) to reverse engineer underlying gene regulatory networks. ([[media:T_ARACNE_result1.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Cytoscape||Released||Visualization of gene regulatory network created in Reverse Engineering using [http://www.cytoscape.org/ Cytoscape 1.0]([[media:Cytoscape.png|screenshot]]).
+
|width="150"|Cancer GEMS||Development||Interface to the NCI Cancer Genetic Markers of Susceptibility project.
 
|-
 
|-
 
|-
 
|-
−
|width="150"|genSpace||Released||It logs information about the analysis tools that geWorkbench users run, so as to answer such questions as "what are the most commonly used analysis tools?" or "which analysis tools are most commonly used together?".
+
|width="150"|CNKB||Released||The Cellular Networks Knowledge Base queries an in-house repository of locally generated B-cell interaction network data and information from external databases in order to build a network of interactions for selected genes. ([[media:T_CNKB_ProtDNA_confidence75.png|Screenshot Throttle Graph]], [[media:T_CNKB_10at75_Cytoscape.png|Screenshot Network]])
 +
|-
 +
|-
 +
|width="150"|Cytoscape||Released||Visualization of gene regulatory network created in Reverse Engineering using [http://www.cytoscape.org/ Cytoscape 1.0]. ([[media:T_ARACNE_result1.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
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|-
 
|-
 
|width="150"|NetBoost||Development||NetBoost is a network characterization algorithm.
 
|width="150"|NetBoost||Development||NetBoost is a network characterization algorithm.
−
|-
 
 
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|-
 
|}
 
|}
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==Normalization==
 
==Normalization==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
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|-
−
|width="150"|Log2 Normalizer||Released||The log2 transformation is applied to all measurements in a microarray, if all values in all microarrays are positive.
+
|width="150"|Log2 Normalizer||Released||Applies a log2 transformation to all measurements in a microarray.
 
|-
 
|-
 
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|-
 
|-
 
|width="150"|Threshold Normalizer||Released||Adjustment of values that fall outside a user-specified threshold.
 
|width="150"|Threshold Normalizer||Released||Adjustment of values that fall outside a user-specified threshold.
 +
|-
 +
|-
 +
|}
 +
 +
 +
== Protein Structure Analysis ==
 +
 +
{|class = "wikitable" style="border: 1px solid lightGray"
 +
!Plugin||Status||Description
 +
|-
 +
|-
 +
|width="150"|MarkUs||Released||Assesses the biochemical function for a given protein structure. ([[media:T_MarkUs_Web_result.png|Screenshot]])
 +
|-
 +
|-
 +
|width="150"|Pudge||Released||Computational protein structure prediction using sequence homology. It integrates tools used at different stages of the structural prediction process. ([[media:T_Pudge_Parameters.png|Screenshot Parameters]], [[media:T_Pudge_Alignment_example.png|Screenshot Result]])
 +
|-
 +
|-
 +
|width="150"|SkyBase||Released||Database of protein structure models produced by SkyLine based on structures solved by the NESG structural genomics consortium.
 +
|-
 +
|-
 +
|width="150"|SkyLine||Released||Automated high-throughput pipeline for reverse homology-based comparative protein structure modeling based on the input template structure.
 
|-
 
|-
 
|-
 
|-
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== Sequence Analysis & Visualization ==
 
== Sequence Analysis & Visualization ==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Alignment Results||Released||It parses and displays the results of sequence similarity searches which were run on the NCBI BLAST service.
+
|width="150"|Alignment Results||Released||It parses and displays the results of sequence similarity searches which were run on the NCBI BLAST service. ([[media:T_SequenceAlignment_BLAST_results.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Pattern  Discovery||Released|| Discovery of sequence motifs in sets of DNA and protein sequences.
+
|width="150"|Pattern  Discovery||Released|| Discovery of sequence motifs in sets of DNA and protein sequences. ([[media:T_PatternDiscovery_Params_Basic_histone_result_exact_seqs.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Position Histogram ||Released|| Visualization of results from the Pattern Discovery plugin. Motif/pattern support is plotted against relative sequence position of the motif match ([[media:Histogram.png|screenshot]]).
+
|width="150"|Position Histogram ||Released|| Visualization of results from the Pattern Discovery plugin. Motif/pattern support is plotted against relative sequence position of the motif match. ([[media:T_PatternDiscovery_Histones_Result_exact_Position_Histogram.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Promoter Analysis||Released||Identification of putative transcription factor binding sites in DNA sequences ([[media:Promoterpanel.png|screenshot]]). The analysis use the profiles in the [http://jaspar.cgb.ki.se/cgi-bin/jaspar_db.pl JASPAR Transcription Factor Binding Profile Database.]
+
|width="150"|Promoter Analysis||Released||Identification of putative transcription factor binding sites in DNA sequences. The analysis use the profiles in the [http://jaspar.cgb.ki.se/cgi-bin/jaspar_db.pl JASPAR Transcription Factor Binding Profile Database]. ([[media:T_Promoter_CDH2_AP2_2000updn_setup_logo.png|Screenshot Logo]], [[media:T_Promoter_CDH2_AP2_2000updn_scan.png|Screenshot Sequence 1]], [[media:T_Promoter_CDH2_AP2_2000updn_scan_fullseq.png|Screenshot Sequence 2]])
 
|-
 
|-
 
|-
 
|-
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|-
 
|-
 
|-
 
|-
−
|width="150"|Sequence Retriever||Released||Retrieve sequences for annotated markers from Santa Cruz (nucleotide sequences) and EBI (proteins sequences).  
+
|width="150"|Sequence Retriever||Released||Retrieve sequences for annotated markers from Santa Cruz (Nucleotides) and EBI (Proteins). ([[media:T_SequenceRetriever_AfterRetrieval.png|Screenshot]])
−
|-
 
−
|-
 
−
|width="150"|Synteny||Discontinued|| Comparison of sequence similarity between two genomic regions. The comparison results are represented as a dot matrix augmented with detailed annotation for both regions ([[media:Synteny Dotmatrix.png|screenshot]]).
 
 
|-
 
|-
 
|-
 
|-
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==Visualization==
 
==Visualization==
  
−
{|style="border: 1px solid lightGray"
+
{|class = "wikitable" style="border: 1px solid lightGray"
 
!Plugin||Status||Description
 
!Plugin||Status||Description
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Analysis Panel||Released ||Framework to support numerous, individually loadable analysis methods.
+
|width="150"|Analysis Panel||Released||Framework to support numerous, individually loadable analysis methods.  
 
|-
 
|-
 
|-
 
|-
−
|width="150"|ANOVA Tabular Viewer||Released||Displays the results of ANOVA analysis of gene expression  data in tabular format.
+
|width="150"|ANOVA Tabular Viewer||Released||Displays the results of ANOVA analysis of gene expression  data in tabular format. ([[media:T_ANOVA_Tabular_Viewer.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|CELImageViewer||Released||Visualization of data in Affymetrix CEL files.
+
|width="150"|CEL Image Viewer||Released||Visualization of data in Affymetrix CEL files. ([[media:T_CEL_viewer.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Color Mosaic||Released||Heat maps for microarray expression data, organized by phenotypic or gene groupings ([[media:Color-mosaic.png|screenshot]]).
+
|width="150"|Color Mosaic||Released||Heat maps for microarray expression data, organized by phenotypic or gene groupings. ([[media:GeWB_Color_Mosaic_Viewer.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Dendrogram||Released||Tree-structured diagrams reflecting the results of hierarchical clustering analysis ([[media:Dendrogram.png|screenshot]]).
+
|width="150"|Dendrogram||Released||Tree-structured diagrams reflecting the results of hierarchical clustering analysis. ([[media:T_HC_Dendrogram_display.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
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|-
 
|-
 
|-
 
|-
−
|width="150"|Expression Profiles||Released||Line graph of genes expression profiles across several arrays/ hybridizations ([[media:Expression-profile.png|screenshot]]).
+
|width="150"|Expression Profiles||Released||Line graph of genes expression profiles across several arrays/ hybridizations. ([[media:GeWB_Expression_Profile_2markers.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Expression Value Distribution||Released||Distribution plot of marker expression values across one or more microarrays.
+
|width="150"|Expression Value Distribution||Released||Distribution plot of marker expression values across one or more microarrays. ([[media:T_EVD.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|GO Terms Viewer||Released||Displays the results of Gene Ontology Enrichment Analysis.
+
|width="150"|GeneWays||Released||An essential component needed to display elements in Cytoscape and ARACNe.
 +
|-
 +
|-
 +
|width="150"|GO Terms Viewer||Released||Displays the results of Gene Ontology Enrichment Analysis. ([[media:T_GO_Terms_TableBrowser_Gene_Detail.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
Line 268: Line 349:
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Jmol||Released || Visualization of 3D protein structures from PDB files.
+
|width="150"|Jmol||Released|| Visualization of 3D protein structures from PDB files. ([[media:T_JMOL_Viewer.png|Screenshot]])
 
|-
 
|-
 
|-
 
|-
−
|width="150"|Mark-Us Browser||Released || Displays the results of a MarkUs analysis.
+
|width="150"|Mark-Us Browser||Released|| Displays the results of a Mark-Us analysis. ([[media:T_MarkUs_Web_result.png|Screenshot]])
 
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|width="150"|Microarray Viewer||Released||Color-gradient representation of gene expression values ([[media:Microarray-panel.png|screenshot]]).
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|width="150"|Microarray Viewer||Released||Color-gradient representation of gene expression values. ([[media:GeWB_Microarray_Viewer.png|Screenshot]])
 
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|width="150"|MRA Viewer||Released||Displays the results of the MRA in tablular and graphical form.
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|width="150"|MRA Viewer||Released||Displays the results of the MRA in tablular and graphical form. ([[media:MRA_viewer_full.png|Screenshot]])
 
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|width="150"|NetBoost Viewer||Development||Displays a Boosting Iteration Graph, Confusion Matrix and Score Table from NetBoost Analysis.
 
|width="150"|NetBoost Viewer||Development||Displays a Boosting Iteration Graph, Confusion Matrix and Score Table from NetBoost Analysis.
 
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|width="150"|Normalization Panel||Released ||Framework to support numerous, individually loadable normalization components.
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|width="150"|Normalization Panel||Released||Framework to support numerous, individually loadable normalization components.
 
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|width="150"|PCA Viewer||Released ||Displays PCA results.
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|width="150"|PCA Viewer||Released||Displays PCA results.
 
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|width="150"|Pudge Browser||Released ||Visualization of Pudge results.
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|width="150"|Pudge Browser||Released||Visualization of Pudge results. ([[media:T_Pudge_Parameters.png|Screenshot Parameters]], [[media:T_Pudge_Alignment_example.png|Screenshot Result]])
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|width="150"|Scatter Plot||Released||Pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values. ([[media:GeWB_Scatter_Plot_array_vs_array.png|Screenshot Array]], [[media:GeWB_Scatter_Plot_marker_vs_marker.png|Screenshot Marker]])
 
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|width="150"|Scatter Plot||Released || Pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values ([[media:Scatterplot.png|screenshot]]).
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|width="150"|SkyBase Viewer||Released||Displays the results from the SkyBase search.
 
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|width="150"|SkyBase Viewer||Development||
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|width="150"|SkyLine Output All||Released||Displays all models from the Skyline modeling.
 
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|width="150"|SkyLine Output All||Development||Displays all models from the Skyline modeling.
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|width="150"|SkyLine Output Each||Released||Displays each model from the Skyline modeling.
 
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|width="150"|SkyLine Output Each||Development||Displays each model from the Skyline modeling.
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|width="150"|SkyLine Contour||Development||A 2D dominance-based visualization of query results.
 
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|width="150"|SOM Clusters Viewer||Released||Visualization of gene clusters produced by the self-organizing maps analysis ([[media:Somcluster.png|screenshot]]). 
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|width="150"|SOM Clusters Viewer||Released||Visualization of gene clusters produced by the self-organizing maps analysis. ([[media:T_SOM_result.png|Screenshot]])  
 
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|width="150"|Tabular Microarray Viewer||Released || Spreadsheet view of all expression measurement in an experiment, one row per individual marker/probe and one column per microarray ([[media:Tabular.png|screenshot]]).
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|width="150"|Tabular Microarray Viewer||Released||Spreadsheet view of all expression measurement in an experiment, one row per individual marker/probe and one column per microarray. ([[media:GeWB_Tabular_Microarray_Viewer.png|Screenshot]])
 
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|width="150"| Volcano Plot||Released || Visualize fold-change vs significance (P-value) for t-test results.
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|width="150"| Volcano Plot||Released|| Visualize fold-change vs significance (P-value) for t-test results. ([[media:T_t-test_volcano_BCELL_webm_qldm.png|Screenshot]])
 
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Latest revision as of 10:17, 16 July 2013

The geWorkbench platform employs a component repository infrastructure to manage a large collection of pluggable components that can be used to customize the application's graphical user interface. This (ever growing) list of plug-in components covers a wide range of fucntionality for a number of different genomic data modalities.

The Status of the pluggable components below is defined as:


Status Comment
(a) Released This plugin is part of the latest geWorkbench version.
(b) Development This plugin is currently actively being developed.



Analysis

Plugin Status Description
ANOVA Released Analysis of Variance - detection of significant differences in expression between more than two groups. (Screenshot)
Evidence Integration Development A sequence and structure-based approach for functional annotation and protein-protein interaction analysis.
GSEA Released The Gene Set Enrichment Analysis determines whether an a priori defined set of genes shows statistically significant differences between two phenotypes.
Hierarchical Clustering Released Clustering of markers and microarrays into hierarchical binary trees. The resulting structures can be visualized in the Dendrogram plugin. (Screenshot)
KNN Released k-Nearest Neighbors analysis (a GenePattern component).
MatrixReduce Released Transcription Factor binding motifs. (Screenshot)
MEDUSA Development The Motif Element Detection Using Sequence Agglomeration is an integrative method for learning motif models of transcription factor binding sites by incorporating promoter sequence and gene expression data (Leslie Lab, MSKCC).
MRA Released Master Regulator Analysis combines regulatory information from interaction networks with differential expression analysis. (Screenshot)
PCA Released Principal Component Analysis (a GenePattern component).
SOM Released Clustering of markers using Self Organizing Maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin. (Screenshot)
SVM 3.0 Released The Support Vector Machine is a supervised classification method that computes a maximal separating hyperplane between the expression vectors of different classes or phenotypes (a GenePattern component).
T-Test Released Identification of markers with statistically significant differential expression between sets of microarrays. (Screenshot Plot, Screenshot Mosaic)
Weighted Voting Released Weighted Voting Analysis (a GenePattern component).


Annotation

Plugin Status Description
caScript Development An Editor.
Dataset History Released Log of data transformations induced by data-modifying operations.
Experiment Information Released Microarray machine parameters used in an experiment run. If available, high-level experiment information (e.g., purpose of of experiment) are also displayed.
Gene Ontology Enrichment Released Enrichment analysis of selected groups of genes against Gene Ontology (http://www.geneontology.org) annotations. (Screenshot)
Marker Annotations Released Retrieval of gene and pathway information for markers on a microarray (caBIO Pathways/Cancer Gene Index); it includes visualization of BioCarta pathway diagrams. (Screenshot Table, Screenshot BioCarta, Screenshot CGI)


Data Filtering

Plugin Status Description
Affy Detection Call Filter Released Filtering of measurements based on the value of their "detection call" attribute (Affymetrix data only) .
Deviation Filter Released Filtering of markers with low dynamic range.
Expression Threshold Filter Released Elimination of measurements that fall outside a range of explression values.
2-channel Threshold Filter Released Same as "Expression Threshold" filter but different threshold ranges can be specified for each channel (GenePix data only).
Genepix Flag Filter Released Filtering of measurements based on the value of their "Flags" attribute (GenePix data only).
Missing Value Filter Released Discards all markers that have missing measurements in more than a user specified number N of microarrays.


Data Management

Plugin Status Description
Arrays/Phenotypes Released Definition of data views consisting of microarray subgroups. The views control the amount of data displayed. (Screenshot)
caArray Released Search and download of gene expression data from instances of caArray (NCI microarray database product). (Screenshot)
Markers Released Definition of data views consisting of marker subgroups. The views control the amount of data displayed. (Screenshot)
Project Folders Released Manages projects and workspaces of the user. (Screenshot)


File Import

Plugin Status Description
Affymetrix CEL Released Loads Affymetrix probe CELl intensity files ("*.cel").
Affymetrix File Matrix Released Loads Affymetrix EXPperiment files ("*.exp").
Affymetrix MAS5/GCOS Released Loads output files from the GeneChip Operating Software formerly known as MAS5 Statistical algorithm (several different file extension).
FASTA Format Released Loads files that are in FASTA format ("*.fasta" and "*.txt").
Genepix File Format Released Loads files in GenePix Result format ("*.gpr").
PDB Structure Format Released Loads files in the Protein Data Base format ("*.pdb")
Tab-delimited (RMA Express Format) Released Loads tab-delimited files from the Robust Multichip Analysis ("*.txt")


Menu Tools

Plugin Status Description
CCM Released The Component Configuration Manager allows users to manage plugins dynamically at any given time in the application environment. (Screenshot)
genSpace Released It logs information about the analysis tools used in geWorkbench in order to enable collaboration support for the geWorkbench users.
Online Help Released geWorkbench Online Help uses the Java help 2.0 system to provide real-time help on component questions.
Preferences Released Allows users to predefine a few basic visual settings and choose a Text Editor.
Version Information Released Provides basic information about the currently installed user version of geWorkbench.
Welcome Screen Released Introduction to geWorkbench during the initial opening of the application.


Network Generation

Plugin Status Description
ARACNe Released The Algorithm for the Reconstruction of Accurate Cellular Networks analyses large amount of microarray data (typically 100-500 microarrays) to reverse engineer underlying gene regulatory networks. (Screenshot)
Cancer GEMS Development Interface to the NCI Cancer Genetic Markers of Susceptibility project.
CNKB Released The Cellular Networks Knowledge Base queries an in-house repository of locally generated B-cell interaction network data and information from external databases in order to build a network of interactions for selected genes. (Screenshot Throttle Graph, Screenshot Network)
Cytoscape Released Visualization of gene regulatory network created in Reverse Engineering using Cytoscape 1.0. (Screenshot)
MINDy Released The Modulator Inference by Network Dynamics algorithm extends ARACNe to include detecting the influence of modulators of transcription factor activity.
NetBoost Development NetBoost is a network characterization algorithm.


Normalization

Plugin Status Description
Array-Based Centering Released Subtraction of the mean or median measurement of a microarray from every measurement in that microarray.
Housekeeping Normalizer Released Normalization of all measurements in a microarray through division by the average expression value of a (user defined) set of housekeeping genes.
Log2 Normalizer Released Applies a log2 transformation to all measurements in a microarray.
Marker-Based Centering Released Subtraction of the mean or median measurement of a marker profile from every measurement in the profile.
Mean-Variance Normalizer Released Transformation of expression measurements to standard units: for every marker, the mean measurement of the marker profile (across all microarrays in an experiment) is subtracted from each measurement in the profile and the resulting value is divided by the standard deviation of the profile.
Missing Value Normalizer Released Replacement of missing values with consensus values.
Quantile Normalizer Released Expression measurements in each microarray are adjusted so that the distribution of values is the same across all microarrays in an experiment.
Threshold Normalizer Released Adjustment of values that fall outside a user-specified threshold.


Protein Structure Analysis

Plugin Status Description
MarkUs Released Assesses the biochemical function for a given protein structure. (Screenshot)
Pudge Released Computational protein structure prediction using sequence homology. It integrates tools used at different stages of the structural prediction process. (Screenshot Parameters, Screenshot Result)
SkyBase Released Database of protein structure models produced by SkyLine based on structures solved by the NESG structural genomics consortium.
SkyLine Released Automated high-throughput pipeline for reverse homology-based comparative protein structure modeling based on the input template structure.


Sequence Analysis & Visualization

Plugin Status Description
Alignment Results Released It parses and displays the results of sequence similarity searches which were run on the NCBI BLAST service. (Screenshot)
Pattern Discovery Released Discovery of sequence motifs in sets of DNA and protein sequences. (Screenshot)
Position Histogram Released Visualization of results from the Pattern Discovery plugin. Motif/pattern support is plotted against relative sequence position of the motif match. (Screenshot)
Promoter Analysis Released Identification of putative transcription factor binding sites in DNA sequences. The analysis use the profiles in the JASPAR Transcription Factor Binding Profile Database. (Screenshot Logo, Screenshot Sequence 1, Screenshot Sequence 2)
Sequence Alignment Released Run jobs on the NCBI BLAST servers directly within geWorkbench.
Sequence Panel Released Visualization of results from the Pattern Discovery plugin, displaying the motif match location over each sequence from the input data set.
Sequence Retriever Released Retrieve sequences for annotated markers from Santa Cruz (Nucleotides) and EBI (Proteins). (Screenshot)


Visualization

Plugin Status Description
Analysis Panel Released Framework to support numerous, individually loadable analysis methods.
ANOVA Tabular Viewer Released Displays the results of ANOVA analysis of gene expression data in tabular format. (Screenshot)
CEL Image Viewer Released Visualization of data in Affymetrix CEL files. (Screenshot)
Color Mosaic Released Heat maps for microarray expression data, organized by phenotypic or gene groupings. (Screenshot)
Dendrogram Released Tree-structured diagrams reflecting the results of hierarchical clustering analysis. (Screenshot)
Evidence Integration Viewer Development Displays the results of the Evidence Integration analysis.
Expression Profiles Released Line graph of genes expression profiles across several arrays/ hybridizations. (Screenshot)
Expression Value Distribution Released Distribution plot of marker expression values across one or more microarrays. (Screenshot)
GeneWays Released An essential component needed to display elements in Cytoscape and ARACNe.
GO Terms Viewer Released Displays the results of Gene Ontology Enrichment Analysis. (Screenshot)
Image Viewer Released Visualization of screenshots saved within geWorkbench (e.g. dendrograms).
Jmol Released Visualization of 3D protein structures from PDB files. (Screenshot)
Mark-Us Browser Released Displays the results of a Mark-Us analysis. (Screenshot)
MatrixReduce Released Visualization of MatrixReduce calculations using logo, chromosomal and tabular displays.
MEDUSA Viewer Development Displays the results of a MEDUSA analysis.
Microarray Viewer Released Color-gradient representation of gene expression values. (Screenshot)
MINDy Viewer Released The results of a MINDy calculation are presented in several different tabular displays and a heat map.
MRA Viewer Released Displays the results of the MRA in tablular and graphical form. (Screenshot)
NetBoost Viewer Development Displays a Boosting Iteration Graph, Confusion Matrix and Score Table from NetBoost Analysis.
Normalization Panel Released Framework to support numerous, individually loadable normalization components.
PCA Viewer Released Displays PCA results.
Pudge Browser Released Visualization of Pudge results. (Screenshot Parameters, Screenshot Result)
Scatter Plot Released Pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values. (Screenshot Array, Screenshot Marker)
SkyBase Viewer Released Displays the results from the SkyBase search.
SkyLine Output All Released Displays all models from the Skyline modeling.
SkyLine Output Each Released Displays each model from the Skyline modeling.
SkyLine Contour Development A 2D dominance-based visualization of query results.
SOM Clusters Viewer Released Visualization of gene clusters produced by the self-organizing maps analysis. (Screenshot)
SVM Viewer Released Visualizes results obtained from classifying samples based on SVMs generated using the Gene Pattern v3 SVM service.
Tabular Microarray Viewer Released Spreadsheet view of all expression measurement in an experiment, one row per individual marker/probe and one column per microarray. (Screenshot)
Volcano Plot Released Visualize fold-change vs significance (P-value) for t-test results. (Screenshot)
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