PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.

Motif search is a fundamental problem in bioinformatics with an important application in locating transcription factor binding sites (TFBSs) in DNA sequences. The exact algorithms can report all (l, d) motifs and find the best one under a specific objective function. However, it is still a challengi...

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Autores principales: Qiang Yu, Hongwei Huo, Yipu Zhang, Hongzhi Guo
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/f23df5d3df90474c820280cc1b2055be
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spelling oai:doaj.org-article:f23df5d3df90474c820280cc1b2055be2021-11-18T08:10:23ZPairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.1932-620310.1371/journal.pone.0048442https://doaj.org/article/f23df5d3df90474c820280cc1b2055be2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23119020/?tool=EBIhttps://doaj.org/toc/1932-6203Motif search is a fundamental problem in bioinformatics with an important application in locating transcription factor binding sites (TFBSs) in DNA sequences. The exact algorithms can report all (l, d) motifs and find the best one under a specific objective function. However, it is still a challenging task to identify weak motifs, since either a large amount of memory or execution time is required by current exact algorithms. A new exact algorithm, PairMotif, is proposed for planted (l, d) motif search (PMS) in this paper. To effectively reduce both candidate motifs and scanned l-mers, multiple pairs of l-mers with relatively large distances are selected from input sequences to restrict the search space. Comparisons with several recently proposed algorithms show that PairMotif requires less storage space and runs faster on most PMS instances. Particularly, among the algorithms compared, only PairMotif can solve the weak instance (27, 9) within 10 hours. Moreover, the performance of PairMotif is stable over the sequence length, which allows it to identify motifs in longer sequences. For the real biological data, experimental results demonstrate the validity of the proposed algorithm.Qiang YuHongwei HuoYipu ZhangHongzhi GuoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e48442 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Qiang Yu
Hongwei Huo
Yipu Zhang
Hongzhi Guo
PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
description Motif search is a fundamental problem in bioinformatics with an important application in locating transcription factor binding sites (TFBSs) in DNA sequences. The exact algorithms can report all (l, d) motifs and find the best one under a specific objective function. However, it is still a challenging task to identify weak motifs, since either a large amount of memory or execution time is required by current exact algorithms. A new exact algorithm, PairMotif, is proposed for planted (l, d) motif search (PMS) in this paper. To effectively reduce both candidate motifs and scanned l-mers, multiple pairs of l-mers with relatively large distances are selected from input sequences to restrict the search space. Comparisons with several recently proposed algorithms show that PairMotif requires less storage space and runs faster on most PMS instances. Particularly, among the algorithms compared, only PairMotif can solve the weak instance (27, 9) within 10 hours. Moreover, the performance of PairMotif is stable over the sequence length, which allows it to identify motifs in longer sequences. For the real biological data, experimental results demonstrate the validity of the proposed algorithm.
format article
author Qiang Yu
Hongwei Huo
Yipu Zhang
Hongzhi Guo
author_facet Qiang Yu
Hongwei Huo
Yipu Zhang
Hongzhi Guo
author_sort Qiang Yu
title PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
title_short PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
title_full PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
title_fullStr PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
title_full_unstemmed PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif search.
title_sort pairmotif: a new pattern-driven algorithm for planted (l, d) dna motif search.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/f23df5d3df90474c820280cc1b2055be
work_keys_str_mv AT qiangyu pairmotifanewpatterndrivenalgorithmforplantedlddnamotifsearch
AT hongweihuo pairmotifanewpatterndrivenalgorithmforplantedlddnamotifsearch
AT yipuzhang pairmotifanewpatterndrivenalgorithmforplantedlddnamotifsearch
AT hongzhiguo pairmotifanewpatterndrivenalgorithmforplantedlddnamotifsearch
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