Motif comparison based on similarity of binding affinity profiles.
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ABSTRACT: Availability and implementation
MoSBAT is available as a webserver at mosbat.ccbr.utoronto.ca, and for download at github.com/csglab/MoSBAT.Contact
t.hughes@utoronto.ca or hamed.najafabadi@mcgill.caSupplementary information: Supplementary data are available at Bioinformatics online.
SUBMITTER: Lambert SA
PROVIDER: S-EPMC5181567 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature
Publications
Motif comparison based on similarity of binding affinity profiles.
Lambert Samuel A SA Albu Mihai M Hughes Timothy R TR Najafabadi Hamed S HS
Bioinformatics (Oxford, England) 20160727 22
Measuring motif similarity is essential for identifying functionally related transcription factors (TFs) and RNA-binding proteins, and for annotating de novo motifs. Here, we describe Motif Similarity Based on Affinity of Targets (MoSBAT), an approach for measuring the similarity of motifs by computing their affinity profiles across a large number of random sequences. We show that MoSBAT successfully associates de novo ChIP-seq motifs with their respective TFs, accurately identifies motifs that ...[more]
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