An Evolutionary Approach for Correcting Random Amplified Polymorphism DNA Images

Authors:
M. Angélica Pinninghoff J.;Ricardo Contreras A.;Luis Rueda
Affiliations:
Department of Computer Science, University of Concepción, Chile;Department of Computer Science, University of Concepción, Chile;School of Computer Science, University of Windsor, Canada
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Year:
2009

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Abstract

Random amplified polymorphism DNA (RAPD) analysis is a widely used technique in studying genetic relationships between individuals, in which processing the underlying images is a quite difficult problem, affected by various factors. Among these factors, noise and distortion affect the quality of images, and subsequently, accuracy in interpreting the data. We propose a method for processing RAPD images that allows to improve their quality and thereof, augmenting biological conclusions. This work presents a twofold objective that attacks the problem by considering two noise sources: band distortion and lane misalignment in the images. Genetic algorithms have shown good results in treating difficult problems, and the results obtained by using them in this particular problem support these directions for future work.