DNA Sequence Reconstruction Based On Genetic Algorithm

Authors

  • Md. Rafiqul Islam Computer Science and Engineering Discipline, Khulna University
  • Md. Rowshan Shahriar Computer Science and Engineering Discipline, Khulna University
  • Abul Faisal Mohammad Shaheed Computer Science and Engineering Discipline, Khulna University

DOI:

https://doi.org/10.22452/mjcs.vol21no1.2

Keywords:

DNA Sequence, Subsequence, Oligonucleotide, Population Construction, Fitness Function, Crossover, Mutation

Abstract

It is becoming increasingly important to develop a novel process for determining the letters of our genetic code, known as DNA sequencing. This task is performed by large datasets using the combination of heuristic methods with little mathematical calculation. In this paper, we present a new method for DNA sequence reconstruction using genetic algorithm, which is able to predict the actual DNA sequence. The performance of the genetic algorithm is evaluated with respect to previous methods in the literature. The results indicate that the proposed new method is superior to previous methods. Finally we compare the results of the experiment and discuss the performance of the proposed method in the DNA sequence reconstruction.

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Published

2008-06-01

How to Cite

Islam, M. R., Shahriar, M. R., & Mohammad Shaheed, A. F. (2008). DNA Sequence Reconstruction Based On Genetic Algorithm. Malaysian Journal of Computer Science, 21(1), 13–23. https://doi.org/10.22452/mjcs.vol21no1.2