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RECOMB
2005
Springer
14 years 4 months ago
Predicting Transcription Factor Binding Sites Using Structural Knowledge
Abstract. Current approaches for identification and detection of transcription factor binding sites rely on an extensive set of known target genes. Here we describe a novel structu...
Tommy Kaplan, Nir Friedman, Hanah Margalit
BMCBI
2005
133views more  BMCBI 2005»
13 years 4 months ago
Ab initio identification of putative human transcription factor binding sites by comparative genomics
Background: Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played b...
Davide Corà, Carl Herrmann, Christoph Diete...
NAR
2006
156views more  NAR 2006»
13 years 4 months ago
VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees
Variable order Markov models and variable order Bayesian trees have been proposed for the recognition of transcription factor binding sites, and it could be demonstrated that they...
Jan Grau, Irad E. Ben-Gal, Stefan Posch, Ivo Gross...
BMCBI
2008
128views more  BMCBI 2008»
13 years 4 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
CSB
2003
IEEE
124views Bioinformatics» more  CSB 2003»
13 years 9 months ago
SMASHing regulatory sites in DNA by human
Regulatory sequence elements provide important clues to understanding and predicting gene expression. Although the binding sites for hundreds of transcription factors are known, t...
Mihaela Zavolan, Nicholas D. Socci, Nikolaus Rajew...