Difference between revisions of "Find common effectors in networks (GeneWays) (workflow)"

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At the next step the Entrez genes are subjected to Effector search in the GeneWays network. For each potential master regulator, FDR, Score, and Z-score are calculated.
 
At the next step the Entrez genes are subjected to Effector search in the GeneWays network. For each potential master regulator, FDR, Score, and Z-score are calculated.
  
The results are filtered by Z_Score>1 and Score>0.2 to select statistically significant Effector nodes.
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The results are filtered by '''Z_Score>1 and Score>0.2''' to select statistically significant Effector nodes.
  
 
Further, the filtered Effector molecules are converted to both Ensembl Gene IDs and a list of UniProt protein IDs.
 
Further, the filtered Effector molecules are converted to both Ensembl Gene IDs and a list of UniProt protein IDs.
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[[Category:Workflows]]
 
[[Category:Workflows]]
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[[Category:GeneXplain workflows]]
 
[[Category:Autogenerated pages]]
 
[[Category:Autogenerated pages]]

Latest revision as of 16:34, 12 March 2019

Workflow title
Find common effectors in networks (GeneWays)
Provider
geneXplain GmbH

[edit] Workflow overview

Find-common-effectors-in-networks-GeneWays-workflow-overview.png

[edit] Description

This workflow is designed to find effector molecules downstream of an input list of genes. Input file is any gene or protein table.

 At the first step, the input table is converted into a table with Entrez Gene IDs.

At the next step the Entrez genes are subjected to Effector search in the GeneWays network. For each potential master regulator, FDR, Score, and Z-score are calculated.

The results are filtered by Z_Score>1 and Score>0.2 to select statistically significant Effector nodes.

Further, the filtered Effector molecules are converted to both Ensembl Gene IDs and a list of UniProt protein IDs.

The table with Ensembl Gene Ids is annotated with additional information, gene description and gene symbols.

Finally, the filtered Effector nodes table is sorted by Score and networks for the three top effectors are visualized as diagrams in the hierarchical layout.

[edit] Parameters

Input gene set
Species
Results folder
Personal tools
Namespaces

Variants
Actions
BioUML platform
Community
Modelling
Analysis & Workflows
Collaborative research
Development
Virtual biology
Wiki
Toolbox