Difference between revisions of "Screenshots"
(→Component Configuration Manager) |
|||
Line 21: | Line 21: | ||
Data sets are loaded into "projects" within a workspace. Individual analysis results are stored under their parent dataset. | Data sets are loaded into "projects" within a workspace. Individual analysis results are stored under their parent dataset. | ||
− | [[Image:T_ANOVA_Saved_Color_Mosaic_View.png]] | + | [[Image:T_ANOVA_Saved_Color_Mosaic_View.png|{{ImageMaxWidth}}]] |
Line 27: | Line 27: | ||
Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes). Sets can be individually marked as belonging to case (here indicated with a red thumbtack) or control groups. | Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes). Sets can be individually marked as belonging to case (here indicated with a red thumbtack) or control groups. | ||
− | [[Image:T-test_Set_selection_BCell.png]] | + | [[Image:T-test_Set_selection_BCell.png|{{ImageMaxWidth}}]] |
===Markers=== | ===Markers=== | ||
Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes). | Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes). | ||
− | [[Image:Marker_Sets_Example.png]] | + | [[Image:Marker_Sets_Example.png|{{ImageMaxWidth}}]] |
In addition, routines such as ANOVA or t-test return lists of significant markers to the Markers component. | In addition, routines such as ANOVA or t-test return lists of significant markers to the Markers component. | ||
− | [[Image:ANOVA_Example_Markers.png]] | + | [[Image:ANOVA_Example_Markers.png|{{ImageMaxWidth}}]] |
===Retrieval from caArray=== | ===Retrieval from caArray=== | ||
Line 42: | Line 42: | ||
Microarray data can be retrieved directly from instances of caArray. | Microarray data can be retrieved directly from instances of caArray. | ||
− | [[Image:Open_File_Remote_caArray_show_arrays.png]] | + | [[Image:Open_File_Remote_caArray_show_arrays.png|{{ImageMaxWidth}}]] |
== Microarray Data Displays== | == Microarray Data Displays== | ||
Line 50: | Line 50: | ||
− | [[Image:GeWB_Microarray_Viewer.png]] | + | [[Image:GeWB_Microarray_Viewer.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 58: | Line 58: | ||
− | [[Image:Tabular_Microarray_Viewer_Number.png]] | + | [[Image:Tabular_Microarray_Viewer_Number.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 66: | Line 66: | ||
Allows viewing of Affyemtrix CEL files. | Allows viewing of Affyemtrix CEL files. | ||
− | [[Image:T_CEL_viewer.png]] | + | [[Image:T_CEL_viewer.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 74: | Line 74: | ||
− | [[Image:GeWB_Color_Mosaic_Viewer.png]] | + | [[Image:GeWB_Color_Mosaic_Viewer.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 84: | Line 84: | ||
− | [[Image:GeWB_Expression_Profile_2markers.png]] | + | [[Image:GeWB_Expression_Profile_2markers.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 91: | Line 91: | ||
===Expression Value Distribution=== | ===Expression Value Distribution=== | ||
− | [[Image:T_EVD.png]] | + | [[Image:T_EVD.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 100: | Line 100: | ||
====Array vs Array==== | ====Array vs Array==== | ||
− | [[Image:GeWB_Scatter_Plot_array_vs_array.png]] | + | [[Image:GeWB_Scatter_Plot_array_vs_array.png|{{ImageMaxWidth}}]] |
====Marker vs Marker==== | ====Marker vs Marker==== | ||
− | [[Image:GeWB_Scatter_Plot_marker_vs_marker.png]] | + | [[Image:GeWB_Scatter_Plot_marker_vs_marker.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 114: | Line 114: | ||
Retrieve and display gene and pathway information from CGAP and Cancer Gene Index (CGI). | Retrieve and display gene and pathway information from CGAP and Cancer Gene Index (CGI). | ||
− | [[Image:GeWB Marker Annotations.png]] | + | [[Image:GeWB Marker Annotations.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 122: | Line 122: | ||
Displays BioCarta images retrieved from caBIO. | Displays BioCarta images retrieved from caBIO. | ||
− | [[Image:GeWB_Marker_Annotations_Pathway.png]] | + | [[Image:GeWB_Marker_Annotations_Pathway.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 130: | Line 130: | ||
Displays literature citations from the Cancer Gene Index project. | Displays literature citations from the Cancer Gene Index project. | ||
− | [[Image:GeWB_Marker_Annotations_CGI.png]] | + | [[Image:GeWB_Marker_Annotations_CGI.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 138: | Line 138: | ||
===Gene Ontology Term Over-representation Analysis=== | ===Gene Ontology Term Over-representation Analysis=== | ||
− | [[Image:T_GO_Terms_TableBrowser_Gene_Detail.png]] | + | [[Image:T_GO_Terms_TableBrowser_Gene_Detail.png|{{ImageMaxWidth}}]] |
===T Test=== | ===T Test=== | ||
Line 145: | Line 145: | ||
A t-test result display on a "volcano plot": Log significance vs log fold change. | A t-test result display on a "volcano plot": Log significance vs log fold change. | ||
− | [[Image:T_t-test_volcano_BCELL_webm_qldm.png]] | + | [[Image:T_t-test_volcano_BCELL_webm_qldm.png|{{ImageMaxWidth}}]] |
====Color Mosaic==== | ====Color Mosaic==== | ||
Line 152: | Line 152: | ||
(Visualization preference setting: Relative) | (Visualization preference setting: Relative) | ||
− | [[Image:T_t-test_colormosaic_BCELL_webm_qldm.png]] | + | [[Image:T_t-test_colormosaic_BCELL_webm_qldm.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 164: | Line 164: | ||
(Visualization preference setting: Absolute) | (Visualization preference setting: Absolute) | ||
− | [[Image:T_ANOVA_ColorMosaic.png]] | + | [[Image:T_ANOVA_ColorMosaic.png|{{ImageMaxWidth}}]] |
====Tabular View==== | ====Tabular View==== | ||
− | [[Image:T_ANOVA_Tabular_Viewer.png]] | + | [[Image:T_ANOVA_Tabular_Viewer.png|{{ImageMaxWidth}}]] |
=== Hierarchical Clustering Dendrogram === | === Hierarchical Clustering Dendrogram === | ||
Line 175: | Line 175: | ||
− | [[Image:T_HC_Dendrogram_display.png]] | + | [[Image:T_HC_Dendrogram_display.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 182: | Line 182: | ||
− | [[Image:T_SOM_result.png]] | + | [[Image:T_SOM_result.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 190: | Line 190: | ||
====K-Nearest Neighbors (KNN)==== | ====K-Nearest Neighbors (KNN)==== | ||
− | [[Image:Tutorial-GP-KNN-parameters.png]] | + | [[Image:Tutorial-GP-KNN-parameters.png|{{ImageMaxWidth}}]] |
====Weighted Voting==== | ====Weighted Voting==== | ||
− | [[Image:Tutorial-GP-WV-parameters.png]] | + | [[Image:Tutorial-GP-WV-parameters.png|{{ImageMaxWidth}}]] |
====Example of classifier result==== | ====Example of classifier result==== | ||
Line 200: | Line 200: | ||
The classifiers return groups of markers to the Markers component: | The classifiers return groups of markers to the Markers component: | ||
− | [[Image:Tutorial-GP_KNN-ClassPredictions.png]] | + | [[Image:Tutorial-GP_KNN-ClassPredictions.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 208: | Line 208: | ||
Retrieve genomic and protein sequences for selected markers. Retrieved sequences can be individually selected and added to the project as new data nodes. | Retrieve genomic and protein sequences for selected markers. Retrieved sequences can be individually selected and added to the project as new data nodes. | ||
− | [[Image:T_SequenceRetriever_AfterRetrieval.png]] | + | [[Image:T_SequenceRetriever_AfterRetrieval.png|{{ImageMaxWidth}}]] |
=== BLAST Queries === | === BLAST Queries === | ||
Line 214: | Line 214: | ||
− | [[Image:T_SequenceAlignment_BLAST_results.png]] | + | [[Image:T_SequenceAlignment_BLAST_results.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 225: | Line 225: | ||
The Pattern Discovery component itself with results displayed in the sequence viewer. | The Pattern Discovery component itself with results displayed in the sequence viewer. | ||
− | [[Image:PatternDiscovery_Basic_histone_result_exact_seqs.png]] | + | [[Image:PatternDiscovery_Basic_histone_result_exact_seqs.png|{{ImageMaxWidth}}]] |
====Position Histogram==== | ====Position Histogram==== | ||
Line 231: | Line 231: | ||
The Pattern Discovery component with results displayed as histogram of support for selected discovered motifs across the sequence data set. Support indicates what fraction of the seqeunces are matched by the motif at a within a sliding window about a given location. | The Pattern Discovery component with results displayed as histogram of support for selected discovered motifs across the sequence data set. Support indicates what fraction of the seqeunces are matched by the motif at a within a sliding window about a given location. | ||
− | [[Image:PatternDiscovery_Basic_Histones_Result_exact_3_histogram.png]] | + | [[Image:PatternDiscovery_Basic_Histones_Result_exact_3_histogram.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 240: | Line 240: | ||
====Motif selection and Logo display==== | ====Motif selection and Logo display==== | ||
− | [[Image:T_Promoter_CDH2_AP2_2000updn_setup_logo.png]] | + | [[Image:T_Promoter_CDH2_AP2_2000updn_setup_logo.png|{{ImageMaxWidth}}]] |
====Result of a scan against a single sequence==== | ====Result of a scan against a single sequence==== | ||
− | [[Image:T_Promoter_CDH2_AP2_2000updn_scan.png]] | + | [[Image:T_Promoter_CDH2_AP2_2000updn_scan.png|{{ImageMaxWidth}}]] |
====Sequence-level display of match==== | ====Sequence-level display of match==== | ||
− | [[Image:T_Promoter_CDH2_AP2_2000updn_scan_fullseq.png]] | + | [[Image:T_Promoter_CDH2_AP2_2000updn_scan_fullseq.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 256: | Line 256: | ||
MatrixREDUCE is a tool for inferring the binding specificity and nuclear concentration of transcription factors from microarray data. | MatrixREDUCE is a tool for inferring the binding specificity and nuclear concentration of transcription factors from microarray data. | ||
− | [[Image:T_MatrixREDUCE_PSAM_view.png]] | + | [[Image:T_MatrixREDUCE_PSAM_view.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 265: | Line 265: | ||
The adjacency matrix generated by an ARACNe network reverse engineering run displayed in Cytoscape. | The adjacency matrix generated by an ARACNe network reverse engineering run displayed in Cytoscape. | ||
− | [[Image:T_ARACNE_result1.png]] | + | [[Image:T_ARACNE_result1.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 274: | Line 274: | ||
====Query results and Throttle Graph==== | ====Query results and Throttle Graph==== | ||
− | [[Image:CNKB_Result_Display_3types_threshold0.75_v2.2.png]] | + | [[Image:CNKB_Result_Display_3types_threshold0.75_v2.2.png|{{ImageMaxWidth}}]] |
====CNKB query results displayed in Cytoscape==== | ====CNKB query results displayed in Cytoscape==== | ||
Line 280: | Line 280: | ||
Display of CNKB interactions in Cytoscape. | Display of CNKB interactions in Cytoscape. | ||
− | [[Image:CNKB_Result_Cytoscape_3types_v2.2.png]] | + | [[Image:CNKB_Result_Cytoscape_3types_v2.2.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 286: | Line 286: | ||
===Master Regulator Analysis=== | ===Master Regulator Analysis=== | ||
− | [[Image:MRA_viewer_GBM_FOSL2_v2.png]] | + | [[Image:MRA_viewer_GBM_FOSL2_v2.png|{{ImageMaxWidth}}]] |
Line 297: | Line 297: | ||
JMOL is a viewer for PDB protein structure files. | JMOL is a viewer for PDB protein structure files. | ||
− | [[Image:T_JMOL_Viewer.png]] | + | [[Image:T_JMOL_Viewer.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 305: | Line 305: | ||
Mark-Us is a web server to assist the assessment of the biochemical function for a given protein structure. MarkUs identifies related protein structures and sequences, detects protein cavities, and calculates the surface electrostatic potentials and amino acid conservation profile. | Mark-Us is a web server to assist the assessment of the biochemical function for a given protein structure. MarkUs identifies related protein structures and sequences, detects protein cavities, and calculates the surface electrostatic potentials and amino acid conservation profile. | ||
− | [[Image:T_MarkUs_Web_result.png]] | + | [[Image:T_MarkUs_Web_result.png|{{ImageMaxWidth}}]] |
---- | ---- | ||
Line 315: | Line 315: | ||
PUDGE allows a pipeline of modeling and evaluation steps, depicted below, to be set up and run. | PUDGE allows a pipeline of modeling and evaluation steps, depicted below, to be set up and run. | ||
− | [[Image:T_Pudge_Parameters.png]] | + | [[Image:T_Pudge_Parameters.png|{{ImageMaxWidth}}]] |
Pudge has a number of output types, the following illustrates a sequence alignment: | Pudge has a number of output types, the following illustrates a sequence alignment: | ||
− | [[Image:T_Pudge_Alignment_example.png]] | + | [[Image:T_Pudge_Alignment_example.png|{{ImageMaxWidth}}]] |
---- | ---- |
Revision as of 00:26, 16 July 2013
Contents
- 1 Overview
- 2 geWorkbench Configuration
- 3 Project and Data Management
- 4 Microarray Data Displays
- 5 Gene and Pathway Annotations
- 6 Statistical tests, clustering and classification
- 7 Sequence Analysis / Pattern Discovery
- 8 Network Discovery and Visualization
- 9 Molecular Structure
Overview
The geWorkbench graphical interface with a CNKB query result dislayed in Cytoscape.
geWorkbench Configuration
Component Configuration Manager
Individual components can be loaded as needed.
Project and Data Management
Project Folders
Data sets are loaded into "projects" within a workspace. Individual analysis results are stored under their parent dataset.
Array/Phenotypes
Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes). Sets can be individually marked as belonging to case (here indicated with a red thumbtack) or control groups.
Markers
Sets of arrays can be defined and included or excluded from particular analyses (via checkboxes).
In addition, routines such as ANOVA or t-test return lists of significant markers to the Markers component.
Retrieval from caArray
Microarray data can be retrieved directly from instances of caArray.
Microarray Data Displays
Microarray Viewer
The Microarray Viewer displaying marker values for selected array.
Tabular Microarray Viewer
The Tabular Microarray Viewer displays expression values in spreadsheet format.
CEL Image Viewer
Allows viewing of Affyemtrix CEL files.
Color Mosaic
The Color Mosaic component displaying selected arrays, group designation and marker names.
Expression Profile
Expression Profile plotting values for selected markers and arrays.
TP53 (31618) and PTTG2 (31631_f_at)
Expression Value Distribution
Scatter Plot
Compare multiple markers or arrays with the standard Scatter Plot analysis.
Array vs Array
Marker vs Marker
Gene and Pathway Annotations
Marker Annotations
Retrieve and display gene and pathway information from CGAP and Cancer Gene Index (CGI).
Marker Annotations - BioCarta Pathways
Displays BioCarta images retrieved from caBIO.
Marker Annotations - Cancer Gene Index
Displays literature citations from the Cancer Gene Index project.
Statistical tests, clustering and classification
Gene Ontology Term Over-representation Analysis
T Test
Volcano Plot
A t-test result display on a "volcano plot": Log significance vs log fold change.
Color Mosaic
The t-test result can also be displayed as a color mosaic.
(Visualization preference setting: Relative)
Analysis of Variance (ANOVA)
Detects markers for which a statistically significant difference exists in a data set containing multiple classes of samples.
Color Mosaic View
(Visualization preference setting: Absolute)
Tabular View
Hierarchical Clustering Dendrogram
A Dendrogram displays the results of the Hierarchical clustering analysis.
SOM Clustering
Self Ordered Map clustering results are displayed as series of expression profiles corresponding to discovered groupings.
Classification (GenePattern)
GenePattern components that perform classification on microarray datasets have been adapted to geWorkbench.
K-Nearest Neighbors (KNN)
Weighted Voting
Example of classifier result
The classifiers return groups of markers to the Markers component:
Sequence Analysis / Pattern Discovery
Sequence Retriever
Retrieve genomic and protein sequences for selected markers. Retrieved sequences can be individually selected and added to the project as new data nodes.
BLAST Queries
The Sequence Alignment component submits BLAST jobs to the NCBI server and displays the results such that individual hits can be used in further analysis steps.
Pattern Discovery
Use the SPLASH algorithm to discover sparse amino or nucleic acid patterns in a loaded sequence.
Motif discovery and display
The Pattern Discovery component itself with results displayed in the sequence viewer.
Position Histogram
The Pattern Discovery component with results displayed as histogram of support for selected discovered motifs across the sequence data set. Support indicates what fraction of the seqeunces are matched by the motif at a within a sliding window about a given location.
Promoter
Individual motifs from the JASPAR Transcription Factor Binding Profile Database can be scanned against loaded genomic sequences.
Motif selection and Logo display
Result of a scan against a single sequence
Sequence-level display of match
MatrixREDUCE
MatrixREDUCE is a tool for inferring the binding specificity and nuclear concentration of transcription factors from microarray data.
Network Discovery and Visualization
Cytoscape - ARACNe Network display
The adjacency matrix generated by an ARACNe network reverse engineering run displayed in Cytoscape.
Cellular Network Knowledge Base
Results of queries against the CNKB can be filtered based on confidence values using the throttle graph.
Query results and Throttle Graph
CNKB query results displayed in Cytoscape
Display of CNKB interactions in Cytoscape.
Master Regulator Analysis
Molecular Structure
JMOL Structure Viewer
JMOL is a viewer for PDB protein structure files.
Mark-Us - Protein Functional Annotation
Mark-Us is a web server to assist the assessment of the biochemical function for a given protein structure. MarkUs identifies related protein structures and sequences, detects protein cavities, and calculates the surface electrostatic potentials and amino acid conservation profile.
PUDGE
Pudge is a server for the prediction of the 3D structures of proteins. While the server can be run without any user intervention, it is primarily designed to be interactive and to allow functional information to be used as a guide to the modeling.
PUDGE allows a pipeline of modeling and evaluation steps, depicted below, to be set up and run.
Pudge has a number of output types, the following illustrates a sequence alignment: