Literature DB >> 25227091

Haplotyping a single triploid individual based on genetic algorithm.

Jingli Wu1, Xixi Chen1, Xianchen Li1.   

Abstract

The minimum error correction model is an important combinatorial model for haplotyping a single individual. In this article, triploid individual haplotype reconstruction problem is studied by using the model. A genetic algorithm based method GTIHR is presented for reconstructing the triploid individual haplotype. A novel coding method and an effectual hill-climbing operator are introduced for the GTIHR algorithm. This relatively short chromosome code can lead to a smaller solution space, which plays a positive role in speeding up the convergence process. The hill-climbing operator ensures algorithm GTIHR converge at a good solution quickly, and prevents premature convergence simultaneously. The experimental results prove that algorithm GTIHR can be implemented efficiently, and can get higher reconstruction rate than previous algorithms.

Keywords:  Single nucleotide polymorphism (SNP); Triploid; genetic algorithm; haplotype; the minimum error correction

Mesh:

Year:  2014        PMID: 25227091     DOI: 10.3233/BME-141204

Source DB:  PubMed          Journal:  Biomed Mater Eng        ISSN: 0959-2989            Impact factor:   1.300


  1 in total

1.  A fast and accurate enumeration-based algorithm for haplotyping a triploid individual.

Authors:  Jingli Wu; Qian Zhang
Journal:  Algorithms Mol Biol       Date:  2018-06-01       Impact factor: 1.405

  1 in total

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