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» Methods for Predicting Target Sites of Transcription Factors
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RECOMB
2002
Springer
14 years 7 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
BMCBI
2006
134views more  BMCBI 2006»
13 years 7 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
BMCBI
2007
145views more  BMCBI 2007»
13 years 7 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
2005
148views more  BMCBI 2005»
13 years 7 months ago
NemaFootPrinter: a web based software for the identification of conserved non-coding genome sequence regions between C. elegans
Background: NemaFootPrinter (Nematode Transcription Factor Scan Through Philogenetic Footprinting) is a web-based software for interactive identification of conserved, non-exonic ...
Davide Rambaldi, Alessandro Guffanti, Paolo Morand...
NAR
2007
115views more  NAR 2007»
13 years 6 months ago
PReMod: a database of genome-wide mammalian cis-regulatory module predictions
We describe PReMod, a new database of genomewide cis-regulatory module (CRM) predictions for both the human and the mouse genomes. The prediction algorithm, described previously i...
Vincent Ferretti, Christian Poitras, Dominique Ber...