Difference between revisions of "ChIP-Seq - Identify TF binding sites on peaks for multiple datasets (TRANSFAC(R)) (workflow)"

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[[File:ChIP-Seq-Identify-TF-binding-sites-on-peaks-for-multiple-datasets-TRANSFAC-R-workflow-overview.png|400px]]
 
[[File:ChIP-Seq-Identify-TF-binding-sites-on-peaks-for-multiple-datasets-TRANSFAC-R-workflow-overview.png|400px]]
 
== Description ==
 
== Description ==
This workflow is designed to search for TFBSs on DNA sequences identified by the ChiP-Seq approach, for multiple datasets. Actually, any dataset in BED format can be submitted as input track for this workflow.
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This workflow is designed to search for binding sites for transcription factors on DNA sequences identified by ChiP-Seq approach. Potential binding sites are identified using TRANSFAC(R) database and the results are further refined for significance.
 
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In the input field ''Yes tracks'', several different tracks can be simultaneously submitted. The same background dataset, No track, is used for comparison with each of the submitted Yes tracks. The default No track corresponds to far upstream regions of the house keeping genes, where no functional composite modules are expected.  
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In the first step both Yes and No tracks are submitted to the ''Site search on track'' and ''Site search results optimization'' analyses to find TFBSs enriched in the first Yes-track in comparison with No-track.  The workflow uses the default profile vertebrate_non_redundant_minSUM from the TRANSFAC® library. The output of this step is a list of PWMs the hits of which are enriched in the first Yes set versus No set. 
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In the second step, the list of PWMs is converted into a table of genes with Ensembl IDs using ''Matrices to molecules'' analysis and further annotated with additional information, gene descriptions and gene symbols via ''Annotate table'' analysis.
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The first step and the second step are then performed for the second Yes track, and so on, repeatedly in a cyclefor each of the input Yes tracks. 
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This workflow is available together with a valid TRANSFAC® license
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== Parameters ==
 
== Parameters ==

Latest revision as of 16:19, 11 December 2014

Workflow title
ChIP-Seq - Identify TF binding sites on peaks for multiple datasets (TRANSFAC(R))
Provider
geneXplain GmbH

[edit] Workflow overview

ChIP-Seq-Identify-TF-binding-sites-on-peaks-for-multiple-datasets-TRANSFAC-R-workflow-overview.png

[edit] Description

This workflow is designed to search for binding sites for transcription factors on DNA sequences identified by ChiP-Seq approach. Potential binding sites are identified using TRANSFAC(R) database and the results are further refined for significance.

[edit] Parameters

Input Yes tracks
Sequence source1
Input No track
Results folder
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