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» Characterization of Prokaryotic and Eukaryotic Promoters Usi...
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85
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ISMB
1996
15 years 1 months ago
Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models
Anders Gorm Pedersen, Pierre Baldi, Søren B...
BMCBI
2006
119views more  BMCBI 2006»
15 years 13 days ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
130
Voted
BMCBI
2006
156views more  BMCBI 2006»
15 years 13 days ago
Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models
Background: Horizontal gene transfer (HGT) is considered a strong evolutionary force shaping the content of microbial genomes in a substantial manner. It is the difference in spee...
Stephan Waack, Oliver Keller, Roman Asper, Thomas ...
BMCBI
2008
155views more  BMCBI 2008»
15 years 15 days ago
Prediction of regulatory elements in mammalian genomes using chromatin signatures
Background: Recent genomic scale survey of epigenetic states in the mammalian genomes has shown that promoters and enhancers are correlated with distinct chromatin signatures, pro...
Kyoung-Jae Won, Iouri Chepelev, Bing Ren, Wei Wang
101
Voted
BMCBI
2007
142views more  BMCBI 2007»
15 years 11 days ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...