Literature DB >> 17975266

Fast and practical algorithms for planted (l, d) motif search.

Jaime Davila1, Sudha Balla, Sanguthevar Rajasekaran.   

Abstract

We consider the planted (l, d) motif search problem, which consists of finding a substring of length l that occurs in a set of input sequences {s1, . . . , sn} with up to d errors, a problem that arises from the need to find transcription factor-binding sites in genomic information. We propose a sequence of practical algorithms, which start based on the ideas considered in PMS1. These algorithms are exact, have little space requirements, and are able to tackle challenging instances with bigger d, taking less time in the instances reported solved by exact algorithms. In particular, one of the proposed algorithms, PMSprune, is able to solve the challenging instances, such as (17, 6) and (19, 7), which were not previously reported as solved in the literature.

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Year:  2007        PMID: 17975266     DOI: 10.1109/TCBB.2007.70241

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  27 in total

1.  PMS6: A Fast Algorithm for Motif Discovery.

Authors:  Shibdas Bandyopadhyay; Sartaj Sahni; Sanguthevar Rajasekaran
Journal:  IEEE Int Conf Comput Adv Bio Med Sci       Date:  2012

2.  Swiftly computing center strings.

Authors:  Franziska Hufsky; Léon Kuchenbecker; Katharina Jahn; Jens Stoye; Sebastian Böcker
Journal:  BMC Bioinformatics       Date:  2011-04-19       Impact factor: 3.169

3.  PMS5: an efficient exact algorithm for the (ℓ, d)-motif finding problem.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Vamsi K Kundeti
Journal:  BMC Bioinformatics       Date:  2011-10-24       Impact factor: 3.169

4.  Efficient motif finding algorithms for large-alphabet inputs.

Authors:  Pavel P Kuksa; Vladimir Pavlovic
Journal:  BMC Bioinformatics       Date:  2010-10-26       Impact factor: 3.169

5.  PMS6MC: A Multicore Algorithm for Motif Discovery.

Authors:  Shibdas Bandyopadhyay; Sartaj Sahni; Sanguthevar Rajasekaran
Journal:  Algorithms       Date:  2013-11-18

6.  iTriplet, a rule-based nucleic acid sequence motif finder.

Authors:  Eric S Ho; Christopher D Jakubowski; Samuel I Gunderson
Journal:  Algorithms Mol Biol       Date:  2009-10-29       Impact factor: 1.405

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

Authors:  Qiang Yu; Hongwei Huo; Yipu Zhang; Hongzhi Guo
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

8.  qPMS7: a fast algorithm for finding (ℓ, d)-motifs in DNA and protein sequences.

Authors:  Hieu Dinh; Sanguthevar Rajasekaran; Jaime Davila
Journal:  PLoS One       Date:  2012-07-24       Impact factor: 3.240

9.  A hybrid method for the exact planted (l, d) motif finding problem and its parallelization.

Authors:  Mostafa M Abbas; Mohamed Abouelhoda; Hazem M Bahig
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

10.  PairMotif+: a fast and effective algorithm for de novo motif discovery in DNA sequences.

Authors:  Qiang Yu; Hongwei Huo; Yipu Zhang; Hongzhi Guo; Haitao Guo
Journal:  Int J Biol Sci       Date:  2013-04-29       Impact factor: 6.580

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