CMF: a combinatorial tool to find composite motifs (Contributo in atti di convegno)

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Label
  • CMF: a combinatorial tool to find composite motifs (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Mauro Leoncini, Manuela Montangero, Marco Pellegrini, Karina Panucia Tillan (2013)
    CMF: a combinatorial tool to find composite motifs
    in Learning and Intelligent Optimization Conference - LION 7, Catania, 07/01/2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Mauro Leoncini, Manuela Montangero, Marco Pellegrini, Karina Panucia Tillan (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IIT-CNR, Universit√† di Modena e Reggio Emilia (literal)
Titolo
  • CMF: a combinatorial tool to find composite motifs (literal)
Abstract
  • Controlling the differential expression of many thousands genes at any given time is a fundamental task of metazoan organisms and this complex orchestration is controlled by the so-call ed regulatory genome encoding complex regulatory networks. Cis-Regulatory Modules are fundamental units of such networks. To detect Cis-Regul atory Modules \"in-silico\" a key step is the discovery of recurrent clusters of DNA binding sites for sets of cooperating Transcription Factors. Composite motif is the term often adopted to refer to these clusters of sites. In this paper we describe CMF, a new efficient combinatorial method for the problem of detecting composite motifs, given in input a description of the binding affinities for a set of transcription factors. Testing with known benchmark data, we attain statistically significant better performance against nine state-of-the-art competing methods. (literal)
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