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» Motif Discovery in Heterogeneous Sequence Data
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PSB
2004
13 years 6 months ago
Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
Alan M. Moses, Derek Y. Chiang, Michael B. Eisen
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 9 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
BMCBI
2007
145views more  BMCBI 2007»
13 years 5 months ago
Improved benchmarks for computational motif discovery
Background: An important step in annotation of sequenced genomes is the identification of transcription factor binding sites. More than a hundred different computational methods h...
Geir Kjetil Sandve, Osman Abul, Vegard Walseng, Fi...
BMCBI
2004
88views more  BMCBI 2004»
13 years 5 months ago
PhyME: A probabilistic algorithm for finding motifs in sets of orthologous sequences
Background: This paper addresses the problem of discovering transcription factor binding sites in heterogeneous sequence data, which includes regulatory sequences of one or more g...
Saurabh Sinha, Mathieu Blanchette, Martin Tompa
ALMOB
2006
138views more  ALMOB 2006»
13 years 5 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh