Sciweavers

14 search results - page 2 / 3
» Gene prediction with a hidden Markov model and a new intron ...
Sort
View
BMCBI
2005
89views more  BMCBI 2005»
13 years 6 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
BMCBI
2006
118views more  BMCBI 2006»
13 years 6 months ago
Automatic generation of gene finders for eukaryotic species
Background: The number of sequenced eukaryotic genomes is rapidly increasing. This means that over time it will be hard to keep supplying customised gene finders for each genome. ...
Kasper Munch, Anders Krogh
BMCBI
2006
119views more  BMCBI 2006»
13 years 6 months 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
NAR
2008
103views more  NAR 2008»
13 years 6 months ago
DBD--taxonomically broad transcription factor predictions: new content and functionality
DNA-binding domain (DBD) is a database of predicted sequence-specific DNA-binding transcription factors (TFs) for all publicly available proteomes. The proteomes have increased fr...
Derek Wilson, Varodom Charoensawan, Sarah K. Kumme...
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
13 years 11 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang