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MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs

MotifCluster finds related motifs in a set of sequences, and clusters the sequences into families using the motifs they contain. MotifCluster, at , lets users test whether proteins are related, cluster sequences by shared conserved motifs, and visualize motifs mapped onto trees, sequences and three-...

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Detalles Bibliográficos
Autores principales: Hamady, Micah, Widmann, Jeremy, Copley, Shelley D, Knight, Rob
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575518/
https://www.ncbi.nlm.nih.gov/pubmed/18706079
http://dx.doi.org/10.1186/gb-2008-9-8-r128
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author Hamady, Micah
Widmann, Jeremy
Copley, Shelley D
Knight, Rob
author_facet Hamady, Micah
Widmann, Jeremy
Copley, Shelley D
Knight, Rob
author_sort Hamady, Micah
collection PubMed
description MotifCluster finds related motifs in a set of sequences, and clusters the sequences into families using the motifs they contain. MotifCluster, at , lets users test whether proteins are related, cluster sequences by shared conserved motifs, and visualize motifs mapped onto trees, sequences and three-dimensional structures. We demonstrate MotifCluster's accuracy using gold-standard protein superfamilies; using recommended settings, families were assigned to the correct superfamilies with 0.17% false positive and no false negative assignments.
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spelling pubmed-25755182008-10-30 MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs Hamady, Micah Widmann, Jeremy Copley, Shelley D Knight, Rob Genome Biol Software MotifCluster finds related motifs in a set of sequences, and clusters the sequences into families using the motifs they contain. MotifCluster, at , lets users test whether proteins are related, cluster sequences by shared conserved motifs, and visualize motifs mapped onto trees, sequences and three-dimensional structures. We demonstrate MotifCluster's accuracy using gold-standard protein superfamilies; using recommended settings, families were assigned to the correct superfamilies with 0.17% false positive and no false negative assignments. BioMed Central 2008 2008-08-15 /pmc/articles/PMC2575518/ /pubmed/18706079 http://dx.doi.org/10.1186/gb-2008-9-8-r128 Text en Copyright © 2008 Hamady et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Hamady, Micah
Widmann, Jeremy
Copley, Shelley D
Knight, Rob
MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title_full MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title_fullStr MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title_full_unstemmed MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title_short MotifCluster: an interactive online tool for clustering and visualizing sequences using shared motifs
title_sort motifcluster: an interactive online tool for clustering and visualizing sequences using shared motifs
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575518/
https://www.ncbi.nlm.nih.gov/pubmed/18706079
http://dx.doi.org/10.1186/gb-2008-9-8-r128
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