Difference between revisions of "Plugins"
Line 56: | Line 56: | ||
==Data Management== | ==Data Management== | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
|- | |- | ||
− | |width="150"|Marker Component ||Definition of data views consisting of marker subgroups. The views control the amount of data displayed. | + | |width="150"|Marker Component ||Released||Definition of data views consisting of marker subgroups. The views control the amount of data displayed. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Phenotype/Array Component ||Definition of data views consisting of microarray subgroups. The views control the amount of data displayed. | + | |width="150"|Phenotype/Array Component ||Released||Definition of data views consisting of microarray subgroups. The views control the amount of data displayed. |
|- | |- | ||
|- | |- | ||
Line 69: | Line 69: | ||
==Normalizers== | ==Normalizers== | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
− | |width="150"|Array-Based Centering||Subtraction of the mean or median measurement of a microarray from every measurement in that microarray. | + | |width="150"|Array-Based Centering||Released||Subtraction of the mean or median measurement of a microarray from every measurement in that microarray. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Marker-Based Centering||Subtraction of the mean or median measurement of a marker profile from every measurement in the profile. | + | |width="150"|Marker-Based Centering||Released||Subtraction of the mean or median measurement of a marker profile from every measurement in the profile. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Mean-Variance Normalizer||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. | + | |width="150"|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. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Missing Value Calculation||Replacement of missing values with consensus values. | + | |width="150"|Missing Value Calculation||Released||Replacement of missing values with consensus values. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Threshold Normalizer ||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. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Quantile || Expression measurements in each microarray are adjusted so that the distribution of values is the same across all microarrays in an experiment. | + | |width="150"|Quantile ||Released|| Expression measurements in each microarray are adjusted so that the distribution of values is the same across all microarrays in an experiment. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Housekeeping || Normalization of all measurements in a microarray through division by the average expression value of a (user defined) set of housekeeping genes. | + | |width="150"|Housekeeping ||Released|| Normalization of all measurements in a microarray through division by the average expression value of a (user defined) set of housekeeping genes. |
|- | |- | ||
|} | |} | ||
Line 96: | Line 96: | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
|- | |- | ||
− | |width="150"|Affy Detection Call||(''Affymetrix data only)'' Filtering of measurements based on the value of their "detection call" attribute. | + | |width="150"|Affy Detection Call||Released||(''Affymetrix data only)'' Filtering of measurements based on the value of their "detection call" attribute. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Deviation|| Filtering of markers with low dynamic range. | + | |width="150"|Deviation||Released|| Filtering of markers with low dynamic range. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Expression Threshold|| Elimination of measurements that fall outside a range of explression values. | + | |width="150"|Expression Threshold||Released|| Elimination of measurements that fall outside a range of explression values. |
|- | |- | ||
|- | |- | ||
− | |width="150"|2-channel Threshold||(''Genepix data only)'' Same as "Expression Threshold" filter but different threshold ranges can be specified for each channel. | + | |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 Flag Filter|| ''(Genepix data only)'' Filtering of measurements based on the value of their "Flags" attribute. | + | |width="150"|Genepix Flag Filter||Released|| ''(Genepix data only)'' Filtering of measurements based on the value of their "Flags" attribute. |
|- | |- | ||
|} | |} | ||
Line 119: | Line 119: | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
− | |width="150"|Dataset History||Log of data transformations induced by data-modifying operations. | + | |width="150"|Dataset History||Released||Log of data transformations induced by data-modifying operations. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Dataset Annotation||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"|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"|Experiment Information||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"|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"|Marker Annotations||Retrieval of gene and pathway information for markers on a microarray. Includes visualization of BioCarta pathway diagrams ([[media:Cabiopathway.png|screenshot]]).. | + | |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"|Gene Ontology||Enrichment analysis of selected groups of genes against Gene Ontology (http://www.geneontology.org) annotations ([[media:Go_Terms_Panel.png|screenshot]]). | + | |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]]). |
|- | |- | ||
|- | |- | ||
Line 140: | Line 140: | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
− | |width="150"| | + | |width="150"|ARACNe||Released|| Analysis of large amount of microarray data (typically 100-500 microarrays) to reverse engineer underlying gene regulatory networks ([[media:Reverseengineering.png|screenshot]]). |
|- | |- | ||
|- | |- | ||
− | |width="150"| | + | |width="150"|MINDy||Released|| Extends ARACNe to include detecting the influence of modulators of transcription factor activity. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Cytoscape||Visualization of gene regulatory network created in Reverse Engineering using [http://www.cytoscape.org/ Cytoscape 1.0]([[media:Cytoscape.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"|Cellular Networks Knowledge Base||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"|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. |
|- | |- | ||
|- | |- | ||
Line 159: | Line 159: | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
− | |width="150"|Hierarchical Clustering||Clustering of markers and microarrays into hierarchical binary trees. The resulting structures can be visualized in the Dendrogram plugin. | + | |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"|Self Organizing Map (SOM)|| Clustering of markers using self organizing maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin. | + | |width="150"|Self Organizing Map (SOM)||Released|| Clustering of markers using self organizing maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin. |
|- | |- | ||
|- | |- | ||
− | |width="150"|T-Test||Identification of markers with statistically significant differential expression between sets of microarrays. ([[media:Volcanoplot.png|screenshot]]). | + | |width="150"|T-Test||Released||Identification of markers with statistically significant differential expression between sets of microarrays. ([[media:Volcanoplot.png|screenshot]]). |
|- | |- | ||
|- | |- | ||
− | |width="150"|ANOVA||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. |
|- | |- | ||
|- | |- | ||
− | |width="150"| | + | |width="150"|MRA||Released||Master Regulator Analysis combines regulatory information from interaction networks with differential expression analysis. |
|- | |- | ||
|- | |- | ||
− | |width="150"| | + | |width="150"|MatrixReduce||Released||Transcription Factor binding motifs. |
|- | |- | ||
|- | |- | ||
− | |width="150"| | + | |width="150"|PCA||Released||(from GenePattern) Principal Component Analysis. |
|- | |- | ||
|- | |- | ||
− | |width="150"|KNN||(from GenePattern) k-Nearest Neighbors analysis. | + | |width="150"|Weighted Voting||Released||(from GenePattern) Weighted Voting Analysis. |
+ | |- | ||
+ | |- | ||
+ | |width="150"|KNN||Released||(from GenePattern) k-Nearest Neighbors analysis. | ||
|- | |- | ||
|- | |- | ||
Line 189: | Line 192: | ||
== Sequence Analysis & Visualization == | == Sequence Analysis & Visualization == | ||
{|style="border: 1px solid lightGray" | {|style="border: 1px solid lightGray" | ||
− | !Plugin||Description | + | !Plugin||Status||Description |
|- | |- | ||
|- | |- | ||
− | |width="150"|Sequence Alignment||Run jobs on the NCBI BLAST servers directly within geWorkbench. | + | |width="150"|Sequence Alignment||Released||Run jobs on the NCBI BLAST servers directly within geWorkbench. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Sequence Retriever||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 (nucleotide sequences) and EBI (proteins sequences). |
|- | |- | ||
|- | |- | ||
− | |width="150"|Synteny|| 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]]). | + | |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]]). |
|- | |- | ||
|- | |- | ||
− | |width="150"|Promoter Analysis||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 ([[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"|Pattern Discovery|| 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. |
|- | |- | ||
|- | |- | ||
− | |width="150"|Position Histogram || 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:Histogram.png|screenshot]]). |
|- | |- | ||
|- | |- | ||
− | |width="150"|Sequence Panel || Visualization of results from the Pattern Discovery plugin, displaying the motif match location over each sequence from the input data set. | + | |width="150"|Sequence Panel ||Released|| Visualization of results from the Pattern Discovery plugin, displaying the motif match location over each sequence from the input data set. |
|- | |- | ||
|} | |} |
Revision as of 16:47, 11 February 2010
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.
Contents
[hide]Visualization
Plugin | Status | Description |
---|---|---|
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). |
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. |
Microarray Viewer | Released | Color-gradient representation of gene expression values (screenshot). |
Scatter Plot | Released | Pairwise (array vs. array and marker vs. marker) comparison and plotting of expression values (screenshot). |
SOM Clusters Viewer | Released | Visualization of gene clusters produced by the self-organizing maps analysis (screenshot). |
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). |
CELImageViewer | Released | Visualization of data in Affymetrix CEL files. |
ImageViewer | Released | Visualization of screenshots saved within geWorkbench (e.g. dendrograms). |
Jmol | Released | Visualization of 3D protein structures from PDB files. |
Volcano Plot | Released | Visualize fold-change vs significance (P-value) for t-test results. |
Data Management
Plugin | Status | Description |
---|---|---|
Marker Component | Released | Definition of data views consisting of marker subgroups. The views control the amount of data displayed. |
Phenotype/Array Component | Released | Definition of data views consisting of microarray subgroups. The views control the amount of data displayed. |
Normalizers
Plugin | Status | Description |
---|---|---|
Array-Based Centering | Released | Subtraction of the mean or median measurement of a microarray from every measurement in that 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 Calculation | Released | Replacement of missing values with consensus values. |
Threshold Normalizer | Released | Adjustment of values that fall outside a user-specified threshold. |
Quantile | Released | Expression measurements in each microarray are adjusted so that the distribution of values is the same across all microarrays in an experiment. |
Housekeeping | Released | Normalization of all measurements in a microarray through division by the average expression value of a (user defined) set of housekeeping genes. |
Filters
Plugin | Status | Description |
---|---|---|
Affy Detection Call | Released | (Affymetrix data only) Filtering of measurements based on the value of their "detection call" attribute. |
Deviation | Released | Filtering of markers with low dynamic range. |
Expression Threshold | Released | Elimination of measurements that fall outside a range of explression values. |
2-channel Threshold | Released | (Genepix data only) Same as "Expression Threshold" filter but different threshold ranges can be specified for each channel. |
Genepix Flag Filter | Released | (Genepix data only) Filtering of measurements based on the value of their "Flags" attribute. |
Annotation
Plugin | Status | Description |
---|---|---|
Dataset History | Released | Log of data transformations induced by data-modifying operations. |
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". |
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. |
Marker Annotations | Released | Retrieval of gene and pathway information for markers on a microarray. Includes visualization of BioCarta pathway diagrams (screenshot).. |
Gene Ontology | Released | Enrichment analysis of selected groups of genes against Gene Ontology (http://www.geneontology.org) annotations (screenshot). |
Network Generation
Plugin | Status | Description |
---|---|---|
ARACNe | Released | Analysis of large amount of microarray data (typically 100-500 microarrays) to reverse engineer underlying gene regulatory networks (screenshot). |
MINDy | Released | Extends ARACNe to include detecting the influence of modulators of transcription factor activity. |
Cytoscape | Released | Visualization of gene regulatory network created in Reverse Engineering using Cytoscape 1.0(screenshot). |
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. |
Analysis
Plugin | Status | Description |
---|---|---|
Hierarchical Clustering | Released | Clustering of markers and microarrays into hierarchical binary trees. The resulting structures can be visualized in the Dendrogram plugin. |
Self Organizing Map (SOM) | Released | Clustering of markers using self organizing maps. The resulting clusters can be visualized in the SOM Clusters Viewer plugin. |
T-Test | Released | Identification of markers with statistically significant differential expression between sets of microarrays. (screenshot). |
ANOVA | Released | Analysis of Variance - detection of significant differences in expression between more than two groups. |
MRA | Released | Master Regulator Analysis combines regulatory information from interaction networks with differential expression analysis. |
MatrixReduce | Released | Transcription Factor binding motifs. |
PCA | Released | (from GenePattern) Principal Component Analysis. |
Weighted Voting | Released | (from GenePattern) Weighted Voting Analysis. |
KNN | Released | (from GenePattern) k-Nearest Neighbors analysis. |
Sequence Analysis & Visualization
Plugin | Status | Description |
---|---|---|
Sequence Alignment | Released | Run jobs on the NCBI BLAST servers directly within geWorkbench. |
Sequence Retriever | Released | Retrieve sequences for annotated markers from Santa Cruz (nucleotide sequences) and EBI (proteins sequences). |
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 (screenshot). |
Promoter Analysis | Released | Identification of putative transcription factor binding sites in DNA sequences (screenshot). The analysis use the profiles in the JASPAR Transcription Factor Binding Profile Database. |
Pattern Discovery | Released | Discovery of sequence motifs in sets of DNA and protein sequences. |
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). |
Sequence Panel | Released | Visualization of results from the Pattern Discovery plugin, displaying the motif match location over each sequence from the input data set. |