Your browser doesn't support javascript.
loading
Primer design using genetic algorithm.
Wu, Jain-Shing; Lee, Chungnan; Wu, Chien-Chang; Shiue, Yow-Ling.
Afiliación
  • Wu JS; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan. wujs@mail.cse.nsysu.edu
Bioinformatics ; 20(11): 1710-7, 2004 Jul 22.
Article en En | MEDLINE | ID: mdl-14988099
MOTIVATION: Before performing a polymerase chain reaction experiment, a pair of primers to clip the target DNA subsequence is required. However, this is a tedious task as too many constraints need to be satisfied. Various kinds of approaches for designing a primer have been proposed in the last few decades, but most of them do not have restriction sites on the designed primers and do not satisfy the specificity constraint. RESULTS: The proposed algorithm imitates nature's process of evolution and genetic operations on chromosomes in order to achieve optimal solutions, and is a best fit for DNA behavior. Experimental results indicate that the proposed algorithm can find a pair of primers that not only obeys the design properties but also has a specific restriction site and specificity. Gel electrophoresis verifies that the proposed method really can clip out the target sequence. AVAILABILITY: A public version of the software is available on request from the authors.
Asunto(s)
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Reacción en Cadena de la Polimerasa / Alineación de Secuencia / Análisis de Secuencia de ADN / Cartilla de ADN / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2004 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Reacción en Cadena de la Polimerasa / Alineación de Secuencia / Análisis de Secuencia de ADN / Cartilla de ADN / Modelos Genéticos Tipo de estudio: Evaluation_studies / Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2004 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Reino Unido