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EXMOTIF: efficient structured motif extraction
BACKGROUND: Extracting motifs from sequences is a mainstay of bioinformatics. We look at the problem of mining structured motifs, which allow variable length gaps between simple motif components. We propose an efficient algorithm, called EXMOTIF, that given some sequence(s), and a structured motif t...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698483/ https://www.ncbi.nlm.nih.gov/pubmed/17109757 http://dx.doi.org/10.1186/1748-7188-1-21 |
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author | Zhang, Yongqiang Zaki, Mohammed J |
author_facet | Zhang, Yongqiang Zaki, Mohammed J |
author_sort | Zhang, Yongqiang |
collection | PubMed |
description | BACKGROUND: Extracting motifs from sequences is a mainstay of bioinformatics. We look at the problem of mining structured motifs, which allow variable length gaps between simple motif components. We propose an efficient algorithm, called EXMOTIF, that given some sequence(s), and a structured motif template, extracts all frequent structured motifs that have quorum q. Potential applications of our method include the extraction of single/composite regulatory binding sites in DNA sequences. RESULTS: EXMOTIF is efficient in terms of both time and space and is shown empirically to outperform RISO, a state-of-the-art algorithm. It is also successful in finding potential single/composite transcription factor binding sites. CONCLUSION: EXMOTIF is a useful and efficient tool in discovering structured motifs, especially in DNA sequences. The algorithm is available as open-source at: . |
format | Text |
id | pubmed-1698483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-16984832006-12-19 EXMOTIF: efficient structured motif extraction Zhang, Yongqiang Zaki, Mohammed J Algorithms Mol Biol Research BACKGROUND: Extracting motifs from sequences is a mainstay of bioinformatics. We look at the problem of mining structured motifs, which allow variable length gaps between simple motif components. We propose an efficient algorithm, called EXMOTIF, that given some sequence(s), and a structured motif template, extracts all frequent structured motifs that have quorum q. Potential applications of our method include the extraction of single/composite regulatory binding sites in DNA sequences. RESULTS: EXMOTIF is efficient in terms of both time and space and is shown empirically to outperform RISO, a state-of-the-art algorithm. It is also successful in finding potential single/composite transcription factor binding sites. CONCLUSION: EXMOTIF is a useful and efficient tool in discovering structured motifs, especially in DNA sequences. The algorithm is available as open-source at: . BioMed Central 2006-11-16 /pmc/articles/PMC1698483/ /pubmed/17109757 http://dx.doi.org/10.1186/1748-7188-1-21 Text en Copyright © 2006 Zhang and Zaki; 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 | Research Zhang, Yongqiang Zaki, Mohammed J EXMOTIF: efficient structured motif extraction |
title | EXMOTIF: efficient structured motif extraction |
title_full | EXMOTIF: efficient structured motif extraction |
title_fullStr | EXMOTIF: efficient structured motif extraction |
title_full_unstemmed | EXMOTIF: efficient structured motif extraction |
title_short | EXMOTIF: efficient structured motif extraction |
title_sort | exmotif: efficient structured motif extraction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698483/ https://www.ncbi.nlm.nih.gov/pubmed/17109757 http://dx.doi.org/10.1186/1748-7188-1-21 |
work_keys_str_mv | AT zhangyongqiang exmotifefficientstructuredmotifextraction AT zakimohammedj exmotifefficientstructuredmotifextraction |