Applying negative rule mining to improve genome annotation

BACKGROUND: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to the new target sequences. We have previously demonstrat...

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Detalles Bibliográficos
Autores principales: Artamonova, Irena I, Frishman, Goar, Frishman, Dmitrij
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1940032/
https://www.ncbi.nlm.nih.gov/pubmed/17659089
http://dx.doi.org/10.1186/1471-2105-8-261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1940032/
https://www.ncbi.nlm.nih.gov/pubmed/17659089
http://dx.doi.org/10.1186/1471-2105-8-261

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