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Gene finding in novel genomes

BACKGROUND: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. RESULTS: 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,...

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Detalles Bibliográficos
Autor principal: Korf, Ian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC421630/
https://www.ncbi.nlm.nih.gov/pubmed/15144565
http://dx.doi.org/10.1186/1471-2105-5-59
Descripción
Sumario:BACKGROUND: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. RESULTS: 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. CONCLUSION: Since gene prediction is sensitive to species-specific parameters, every genome needs a dedicated gene finder.