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» Missing genes in the annotation of prokaryotic genomes
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BMCBI
2005
82views more  BMCBI 2005»
13 years 7 months ago
A novel method for prokaryotic promoter prediction based on DNA stability
Background: In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step to...
Aditi Kanhere, Manju Bansal
BMCBI
2004
166views more  BMCBI 2004»
13 years 7 months ago
Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
Shaun Mahony, James O. McInerney, Terry J. Smith, ...
ISMB
2000
13 years 8 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
Towards validating the hypothesis of phylogenetic profiling
Background: As the number of fully sequenced genome increases, the need is greater for bioinformatics to predict or annotate genes of a newly sequenced genome. Ever since Eisenber...
Raja Loganantharaj, Mazen Atwi
BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes
Background: Computational prediction methods are currently used to identify genes in prokaryote genomes. However, identification of the correct translation initiation sites remain...
Yuko Makita, Michiel J. L. de Hoon, Antoine Danchi...