Related Experiment Video
Updated: Jul 18, 2026
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Mclip: motif detection based on cliques of gapped local profile-to-profile alignments
Tancred Frickey1, Georg Weiller
1ARC Centre of Excellence for Integrative Legume Research and Bioinformatics Laboratory, Genomic Interactions Group, Research School of Biological Sciences, Australian National University, GPO Box 475, Canberra, ACT 2601, Australia.
Unlabelled:
A multitude of motif-finding tools have been published, which can generally be assigned to one of three classes: expectation-maximization, Gibbs-sampling or enumeration. Irrespective of this grouping, most motif detection tools only take into account similarities across ungapped sequence regions, possibly causing short motifs located peripherally and in varying distance to a 'core' motif to be missed. We present a new method, adding to the set of expectation-maximization approaches, that permits the use of gapped alignments for motif elucidation.
Availability:
The program is available for download from: http://bioinfoserver.rsbs.anu.edu.au/downloads/mclip.jar.
Supplementary Information:
http://bioinfoserver.rsbs.anu.edu.au/utils/mclip/info.php.
