DNA sequence analysis using fuzzy grammars

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Pages1915-1921
Number of pages7
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008 - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2008 IEEE International Conference on Fuzzy Systems, FUZZ 2008
Country/TerritoryChina
CityHong Kong
Period1/06/086/06/08

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