Literature DB >> 25462340

A novel k-word relative measure for sequence comparison.

Jie Tang1, Keru Hua2, Mengye Chen3, Ruiming Zhang4, Xiaoli Xie5.   

Abstract

In order to extract phylogenetic information from DNA sequences, the new normalized k-word average relative distance is proposed in this paper. The proposed measure was tested by discriminate analysis and phylogenetic analysis. The phylogenetic trees based on the Manhattan distance measure are reconstructed with k ranging from 1 to 12. At the same time, a new method is suggested to reduce the matrix dimension, can greatly lessen the amount of calculation and operation time. The experimental assessment demonstrated that our measure was efficient. What's more, comparing with other methods' results shows that our method is feasible and powerful for phylogenetic analysis.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  DNA sequences; Discriminate analysis; Phylogenetic analysis; Phylogenetic trees

Year:  2014        PMID: 25462340     DOI: 10.1016/j.compbiolchem.2014.10.007

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  4 in total

1.  Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning.

Authors:  Yong-Joon Song; Dong Jin Ji; Hyein Seo; Gyu-Bum Han; Dong-Ho Cho
Journal:  IEEE Open J Eng Med Biol       Date:  2021-01-29

2.  Local Alignment of DNA Sequence Based on Deep Reinforcement Learning.

Authors:  Yong-Joon Song; Dong-Ho Cho
Journal:  IEEE Open J Eng Med Biol       Date:  2021-04-27

3.  kWIP: The k-mer weighted inner product, a de novo estimator of genetic similarity.

Authors:  Kevin D Murray; Christfried Webers; Cheng Soon Ong; Justin Borevitz; Norman Warthmann
Journal:  PLoS Comput Biol       Date:  2017-09-05       Impact factor: 4.475

4.  Phylogenetic Analysis of HIV-1 Genomes Based on the Position-Weighted K-mers Method.

Authors:  Yuanlin Ma; Zuguo Yu; Runbin Tang; Xianhua Xie; Guosheng Han; Vo V Anh
Journal:  Entropy (Basel)       Date:  2020-02-23       Impact factor: 2.524

  4 in total

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