Difference between revisions of "Gene set enrichment analysis (Affymetrix probes) (workflow)"

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[[File:Gene-set-enrichment-analysis-Affymetrix-probes-workflow-overview.png|400px]]
 
[[File:Gene-set-enrichment-analysis-Affymetrix-probes-workflow-overview.png|400px]]
 
== Description ==
 
== Description ==
This workflow is designed to perform Gene Set Enrichment Analysis, GSEA, as it is described at [http://www.broadinstitute.org/gsea/index.jsp http://www.broadinstitute.org/gsea/index.jsp]. As input, the normalized data with Affymetrix probeset IDs can be submitted.
+
This workflow is designed to perform Gene Set Enrichment Analysis, GSEA, as it is described at [http://www.broadinstitute.org/gsea/index.jsp http://www.broadinstitute.org/gsea/index.jsp].  As input, the normalized data with Affymetrix probeset IDs can be submitted.
  
Such normalized files are resulting from the “Normalize data” procedure under “analyses/Methods/Data normalization/Normalize Affymetrix experiment and control”.
+
Such normalized files result from the “Normalize data” procedure under “Analyses/Methods/Data normalization/Normalize Affymetrix experiment and control”.
  
First, the input files are subjected to fold-change calculation.
+
First, the input files are subjected to fold-change calculation. The table with probeset IDs and calculated fold change values is converted into a table with Ensembl Gene IDs.
  
The table with probeset Ids and calculated fold change values is converted into a table with Ensembl Gene Ids.
+
In the next step, the Ensembl genes are annotated with additional information, gene descriptions and gene symbols.
 
+
At the next step, the Ensembl genes are annotated with additional information, gene description and gene symbols.
+
  
 
Finally the annotated Ensembl genes are subjected to GSEA. Enrichment analysis is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions and by the Reactome pathways.
 
Finally the annotated Ensembl genes are subjected to GSEA. Enrichment analysis is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions and by the Reactome pathways.
  
For each ontological term several parameters are calculated, including nominal p-value, ES, NES, as well as hit names, the link to the corresponding ontological term, and the link to open a visualization plot.
+
Output files include enrichment analysis results, a list of annotated Ensembl genes and a histogram of LogFoldChange distribution. For each ontological term several parameters are calculated, including nominal p-value, ES, NES, FDR, rank at max, hit names, the link to the corresponding ontological term, and the link to open a visualization plot.
  
 
== Parameters ==
 
== Parameters ==
 
;Experiment normalized
 
;Experiment normalized
 
;Control normalized
 
;Control normalized
 +
;Annotation source
 
;Species
 
;Species
 
;Results folder
 
;Results folder
  
 
[[Category:Workflows]]
 
[[Category:Workflows]]
 +
[[Category:GeneXplain workflows]]
 
[[Category:Autogenerated pages]]
 
[[Category:Autogenerated pages]]
[[Category:GeneXplain workflows]]
 

Latest revision as of 16:34, 12 March 2019

Workflow title
Gene set enrichment analysis (Affymetrix probes)
Provider
geneXplain GmbH

[edit] Workflow overview

Gene-set-enrichment-analysis-Affymetrix-probes-workflow-overview.png

[edit] Description

This workflow is designed to perform Gene Set Enrichment Analysis, GSEA, as it is described at http://www.broadinstitute.org/gsea/index.jsp.  As input, the normalized data with Affymetrix probeset IDs can be submitted.

Such normalized files result from the “Normalize data” procedure under “Analyses/Methods/Data normalization/Normalize Affymetrix experiment and control”.

First, the input files are subjected to fold-change calculation. The table with probeset IDs and calculated fold change values is converted into a table with Ensembl Gene IDs.

In the next step, the Ensembl genes are annotated with additional information, gene descriptions and gene symbols.

Finally the annotated Ensembl genes are subjected to GSEA. Enrichment analysis is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions and by the Reactome pathways.

Output files include enrichment analysis results, a list of annotated Ensembl genes and a histogram of LogFoldChange distribution. For each ontological term several parameters are calculated, including nominal p-value, ES, NES, FDR, rank at max, hit names, the link to the corresponding ontological term, and the link to open a visualization plot.

[edit] Parameters

Experiment normalized
Control normalized
Annotation source
Species
Results folder
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