Literature DB >> 15072686

Incremental paradigms of motif discovery.

Alberto Apostolico1, Laxmi Parida.   

Abstract

We examine the problem of extracting maximal irredundant motifs from a string. A combinatorial argument poses a linear bound on the total number of such motifs, thereby opening the way to the quest for the fastest and most efficient methods of extraction. The basic paradigm explored here is that of iterated updates of the set of irredundant motifs in a string under consecutive unit symbol extensions of the string itself. This approach exposes novel characterizations for the base set of motifs in a string, hinged on notions of partial order. Such properties support the design of ad hoc data structures and constructs, and lead to develop an O(n(3)) time incremental discovery algorithm.

Mesh:

Year:  2004        PMID: 15072686     DOI: 10.1089/106652704773416867

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  3 in total

1.  EXMOTIF: efficient structured motif extraction.

Authors:  Yongqiang Zhang; Mohammed J Zaki
Journal:  Algorithms Mol Biol       Date:  2006-11-16       Impact factor: 1.405

2.  Classification of protein sequences by means of irredundant patterns.

Authors:  Matteo Comin; Davide Verzotto
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

3.  Alignment-free phylogeny of whole genomes using underlying subwords.

Authors:  Matteo Comin; Davide Verzotto
Journal:  Algorithms Mol Biol       Date:  2012-12-06       Impact factor: 1.405

  3 in total

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