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PMID: 15144565 Published · epublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Gene finding in novel genomes.

BMC bioinformatics ·Vol. 5 ·2004-05-14 ·Pages 59

Korf I

Abstract

Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. I introduce the SNAP gene finder which has been designed to be easily adaptable to a variety of genomes. In novel genomes without an appropriate gene finder, I demonstrate that employing a foreign gene finder can produce highly inaccurate results, and that the most compatible parameters may not come from the nearest phylogenetic neighbor. I find that foreign gene finders are more usefully employed to bootstrap parameter estimation and that the resulting parameters can be highly accurate. Since gene prediction is sensitive to species-specific parameters, every genome needs a dedicated gene finder.

MeSH Terms
Animals Arabidopsis/genetics Caenorhabditis elegans/genetics Computational Biology/methods Databases, Genetic Drosophila melanogaster/genetics Genes/genetics Genes, Helminth/genetics Genes, Insect/genetics Genes, Plant/genetics Genetic Variation/genetics Genome Genome, Plant Predictive Value of Tests Software
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Korf Ian
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK. [email protected]
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2004-05-14
Epub
2004-00-14
Pages
59
Language
English
Region
England
NLM ID
100965194
PMCID
PMC421630
Subset
IM
Grants
PHS HHS · K22-00064-01 · United States
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