ITEM METADATA RECORD
Title: iRegulon and i-cisTarget: Reconstructing Regulatory Networks Using Motif and Track Enrichment
Authors: Verfaillie, Annelien ×
Imrichova, Hana
Janky, Rekins
Aerts, Stein #
Issue Date: 2015
Publisher: John Wiley & Sons, Inc.
Series Title: Current Protocols in Bioinformatics vol:52 pages:2.16.1-2.16.39
Article number: 10.1002/0471250953.bi0216s52
Abstract: Gene expression profiling is often used to identify genes that are co-expressed in a biological process or disease. Downstream analyses of co-expressed gene sets using bioinformatics methods can reveal candidate transcription factors (TF) that co-regulate these genes, based on the presence of shared TF binding sites. Drawing gene regulatory networks that connect TFs to their predicted target genes can uncover gene modules that implement a particular function. Here, we describe several protocols to analyze any set of co-expressed genes using iRegulon and i-cisTarget. These tools perform regulatory sequence analysis (motif discovery) and integrate and mine large collections of existing regulatory data, such as ChIP-Seq, DHS-seq, and FAIRE-seq (track discovery). While iRegulon focuses on sets of co-expressed genes, i-cisTarget also analyses genomic regions as input. The following protocols describe how to install and use these tools, how to interpret the obtained results, and will thus help to create meaningful regulatory networks. © 2015 by John Wiley & Sons, Inc.
URI: 
ISSN: 1934-3396
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Department of Human Genetics - miscellaneous
Laboratory of Computational Biology
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.