Difference between revisions of "Mapping to ontologies (TRANSPATH(R)) (workflow)"

From BioUML platform
Jump to: navigation, search
(Automatic synchronization with BioUML)
(Automatic synchronization with BioUML)
 
(One intermediate revision by one user not shown)
Line 11: Line 11:
  
 
This table with Ensembl Gene IDs is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome pathways, HumanCyc pathways, Transpath pathways, TF classification.
 
This table with Ensembl Gene IDs is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome pathways, HumanCyc pathways, Transpath pathways, TF classification.
 +
 +
For each ontological term several parameters are calculated, including expected number of hits, actual number of hits, p-value, as well as hit names and the link to the corresponding ontological term.
 +
 +
Mapping to ontologies for multiple gene sets
 +
 +
This workflow is designed to classify input gene set to several ontologies and to identify terms, hits for which are overrepresented in the input set. The Input can be a gene or protein table.
 +
 +
At the first step, one of the input table is converted into a table with Ensembl Gene IDs.
 +
 +
This table with Ensembl Gene IDs is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome pathways, TF classification, and Transpath pathways
  
 
For each ontological term several parameters are calculated, including expected number of hits, actual number of hits, p-value, as well as hit names and the link to the corresponding ontological term.
 
For each ontological term several parameters are calculated, including expected number of hits, actual number of hits, p-value, as well as hit names and the link to the corresponding ontological term.

Latest revision as of 16:35, 12 March 2019

Workflow title
Mapping to ontologies (TRANSPATH(R))
Provider
geneXplain GmbH

[edit] Workflow overview

Mapping-to-ontologies-TRANSPATH-R-workflow-overview.png

[edit] Description

 This workflow is designed to classify an input gene set to several ontologies and to identify terms, hits for which are overrepresented in the input set. The input file can be any gene or protein table.

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

This table with Ensembl Gene IDs is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome pathways, HumanCyc pathways, Transpath pathways, TF classification.

For each ontological term several parameters are calculated, including expected number of hits, actual number of hits, p-value, as well as hit names and the link to the corresponding ontological term.

Mapping to ontologies for multiple gene sets

This workflow is designed to classify input gene set to several ontologies and to identify terms, hits for which are overrepresented in the input set. The Input can be a gene or protein table.

At the first step, one of the input table is converted into a table with Ensembl Gene IDs.

This table with Ensembl Gene IDs is subjected to functional classification, which is done in parallel by the following ontologies: GO biological processes, GO cellular components, GO molecular functions, Reactome pathways, TF classification, and Transpath pathways

For each ontological term several parameters are calculated, including expected number of hits, actual number of hits, p-value, as well as hit names and the link to the corresponding ontological term.

This workflow is available together with a valid TRANSPATH® license.

[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