A method to improve the performance of translation start site detection and its application for gene finding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Correct signal identification is an important step for all ab initio gene finders. The aim of this work is to introduce a new method for detecting translation start sites in genomic DNA sequences. By using interpolated context Markov model to capture the coding potential of the region immediately following a putative start codon, the novel method described achieves an 84% accuracy of the start codon recognition. The implementation of this technique into GlimmerM succeeds in improving the sensitivity of the gene prediction by 5%.

Original languageEnglish (US)
Title of host publicationAlgorithms in Bioinformatics - 2nd International Workshop,WABI 2002, Proceedings
EditorsRoderic Guigo, Dan Gusfield
PublisherSpringer Verlag
Pages210-219
Number of pages10
ISBN (Print)3540442111, 9783540442110
DOIs
StatePublished - 2002
Externally publishedYes
Event2nd International Workshop on Algorithms in Bioinformatics, WABI 2002 - Rome, Italy
Duration: Sep 17 2002Sep 21 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2452
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Algorithms in Bioinformatics, WABI 2002
CountryItaly
CityRome
Period9/17/029/21/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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