Mclip: motif detection based on cliques of gapped local profile-to-profile alignments.
Bioinformatics
; 23(4): 502-3, 2007 Feb 15.
Article
em En
| MEDLINE
| ID: mdl-17127680
UNLABELLED: A multitude of motif-finding tools have been published, which can generally be assigned to one of three classes: expectation-maximization, Gibbs-sampling or enumeration. Irrespective of this grouping, most motif detection tools only take into account similarities across ungapped sequence regions, possibly causing short motifs located peripherally and in varying distance to a 'core' motif to be missed. We present a new method, adding to the set of expectation-maximization approaches, that permits the use of gapped alignments for motif elucidation. AVAILABILITY: The program is available for download from: http://bioinfoserver.rsbs.anu.edu.au/downloads/mclip.jar. SUPPLEMENTARY INFORMATION: http://bioinfoserver.rsbs.anu.edu.au/utils/mclip/info.php.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Software
/
Alinhamento de Sequência
/
Análise de Sequência de DNA
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Ano de publicação:
2007
Tipo de documento:
Article