DNA sequence analysis using fuzzy grammars

Herón Molina-Lozano, Edgar E. Vallejo-Clemente, Juan E. Morett-Sánchez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

We propose to use fuzzy context-free grammars for the analysis of DNA sequences by using the Cocke-Younger-Kasami algorithm to estimate membership grades of a DNA sequence against the language of a fuzzy grammar. As a first example of the application of the proposed method we prove that is possible to determine a fuzzy grammar of a prototype DNA sequence and then found the membership grade of any arbitrary sequence against the specific pattern. As a second example, we formulate a fuzzy grammar from an alignment of promoters by a logo sequence of Escherichia Coli K12 then show how the proposed method can be used for the discovery of regulatory motifs.

Idioma originalInglés
Título de la publicación alojada2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Páginas1915-1921
Número de páginas7
DOI
EstadoPublicada - 2008
Evento2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
Duración: 1 jun. 20086 jun. 2008

Serie de la publicación

NombreIEEE International Conference on Fuzzy Systems
ISSN (versión impresa)1098-7584

Conferencia

Conferencia2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
País/TerritorioChina
CiudadHong Kong
Período1/06/086/06/08

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