Biochemical Property Based Positional Matrix: A New Approach Towards Genome Sequence Comparison
The growth of the genome sequence has become one of the emerging areas in the study of bioinformatics. It has led to an excessive demand for researchers to develop advanced methodologies for evolutionary relationships among species. The alignment-free methods have been proved to be more efficient an...
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Published in | Journal of molecular evolution Vol. 91; no. 1; pp. 93 - 131 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.02.2023
Springer Nature B.V |
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Abstract | The growth of the genome sequence has become one of the emerging areas in the study of bioinformatics. It has led to an excessive demand for researchers to develop advanced methodologies for evolutionary relationships among species. The alignment-free methods have been proved to be more efficient and appropriate related to time and space than existing alignment-based methods for sequence analysis. In this study, a new alignment-free genome sequence comparison technique is proposed based on the biochemical properties of nucleotides. Each genome sequence can be distributed in four parameters to represent a 21-dimensional numerical descriptor using the Positional Matrix. To substantiate the proposed method, phylogenetic trees are constructed on the viral and mammalian datasets by applying the UPGMA/NJ clustering method. Further, the results of this method are compared with the results of the Feature Frequency Profiles method, the Positional Correlation Natural Vector method, the Graph-theoretic method, the Multiple Encoding Vector method, and the Fuzzy Integral Similarity method. In most cases, it is found that the present method produces more accurate results than the prior methods. Also, in the present method, the execution time for computation is comparatively small. |
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AbstractList | The growth of the genome sequence has become one of the emerging areas in the study of bioinformatics. It has led to an excessive demand for researchers to develop advanced methodologies for evolutionary relationships among species. The alignment-free methods have been proved to be more efficient and appropriate related to time and space than existing alignment-based methods for sequence analysis. In this study, a new alignment-free genome sequence comparison technique is proposed based on the biochemical properties of nucleotides. Each genome sequence can be distributed in four parameters to represent a 21-dimensional numerical descriptor using the Positional Matrix. To substantiate the proposed method, phylogenetic trees are constructed on the viral and mammalian datasets by applying the UPGMA/NJ clustering method. Further, the results of this method are compared with the results of the Feature Frequency Profiles method, the Positional Correlation Natural Vector method, the Graph-theoretic method, the Multiple Encoding Vector method, and the Fuzzy Integral Similarity method. In most cases, it is found that the present method produces more accurate results than the prior methods. Also, in the present method, the execution time for computation is comparatively small. |
Author | Das, Subhram Dey, Sudeshna Bhattacharya, D. K. |
Author_xml | – sequence: 1 givenname: Sudeshna surname: Dey fullname: Dey, Sudeshna organization: Computer Science and Engineering, Narula Institute of Technology – sequence: 2 givenname: Subhram orcidid: 0000-0003-2899-4433 surname: Das fullname: Das, Subhram email: subhram.das@nit.ac.in organization: Computer Science and Engineering, Narula Institute of Technology – sequence: 3 givenname: D. K. surname: Bhattacharya fullname: Bhattacharya, D. K. organization: Pure Mathematics, Calcutta University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36587178$$D View this record in MEDLINE/PubMed |
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Keywords | Evolutionary relationship Alignment-based method Alignment-free method Genome sequence comparison Phylogenetic tree |
Language | English |
License | 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
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SubjectTerms | Algorithms Alignment Animal Genetics and Genomics Animals Bioinformatics Biomedical and Life Sciences Cell Biology Clustering Computational Biology - methods Evolutionary Biology Genome - genetics Genomes Graph theory Life Sciences Mammals - genetics Microbiology Nucleotide sequence Nucleotides Nucleotides - genetics Original Original Article Phylogeny Plant Genetics and Genomics Plant Sciences Sequence analysis Sequence Analysis, DNA - methods |
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Title | Biochemical Property Based Positional Matrix: A New Approach Towards Genome Sequence Comparison |
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