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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-...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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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 |
_version_ | 1782160320478838784 |
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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. |
format | Text |
id | pubmed-2575518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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