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Analysis of Genetic Data via Data Mining: An Application on Intron-Exon Boundary Recognition - Softcover

Tunaboylu, Sezin; Nasibov, Efendi

 
9783659152184: Analysis of Genetic Data via Data Mining: An Application on Intron-Exon Boundary Recognition

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Inhaltsangabe

The prediction of the complete structure of genes is one of the important tasks of bioinformatics. A crucial part in gene structure prediction is to determine the splice sites in the coding region. Identification of splice sites depends on the precise recognition of the boundaries between exons and introns of a given DNA sequence. In this book, a new Weighted Position Specific Scoring Method (WPSSM) is explained to recognize splice sites which uses a position-specific scoring matrix constructed by nucleotide base frequencies and uses the genetic algorithm to tune the positional weights and the threshold parameter.

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Über die Autorin bzw. den Autor

Sezin Tunaboylu, MSc: Department of Computer Science, Dokuz Eylul University, Izmir, TURKEY. Efendi Nasibov, PhD, DrSc: Department of Computer Science, Dokuz Eylul University, Izmir, TURKEY.

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