Splice site identification using probabilistic parameters and SVM classification

BACKGROUND: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and efficient analysis methods. Identifying genes in this newly accumulated data is an important issue in bioinformatics, and...

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Detalles Bibliográficos
Autores principales: Baten, AKMA, Chang, BCH, Halgamuge, SK, Li, Jason
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764471/
https://www.ncbi.nlm.nih.gov/pubmed/17254299
http://dx.doi.org/10.1186/1471-2105-7-S5-S15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764471/
https://www.ncbi.nlm.nih.gov/pubmed/17254299
http://dx.doi.org/10.1186/1471-2105-7-S5-S15

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