Log-correlation Distance And Fourier Transform With Kullback-Leibler Divergence Distance For Construction Of Vertebrate Phylogeny Using Complete Mitochondrial Genomes

Zhou, Li-Qian, Yu, Zu-Guo, Nie, P. R., Liao, F. F., Anh, Vo V., & Chen, Y. J. (2007) Log-correlation Distance And Fourier Transform With Kullback-Leibler Divergence Distance For Construction Of Vertebrate Phylogeny Using Complete Mitochondrial Genomes. In Third International Conference on Natural Computation (ICNC 2007), 24-27 August 2007, Haikou, China.

View at publisher


For vertebrate mitochondrial genomes, some phylogenies have been built by various methods with or without sequence alignment. These methods are important for the problem of classification and evolution. In this paper, we propose two approaches to analyze the phylogenetic relationship of 64 vertebrates using complete mitochondrial genomes without sequence alignment. The first approach combines discrete Fourier transform (DFT) with Kullback-Leibler divergence (KLD) distance. The second one directly uses a log-correlation distance. Both methods are based on compositional vectors of DNA sequences or protein sequences from the complete genome. The phylogenetic trees show that the mitochondrial genomes are separated into three major groups. One group corresponds to mammals; one group corresponds to fish; and the other one is Archosauria (including birds and reptiles). In particular, the structure of the tree based on log-correlation distance are roughly in agreement in topology with the current known phylogenies of vertebrates.

Impact and interest:

4 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

328 since deposited on 07 Aug 2008
8 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 14328
Item Type: Conference Paper
Refereed: Yes
Keywords: DNA, biology computing, discrete Fourier transforms, log normal distribution, proteins
DOI: 10.1109/ICNC.2007.462
ISBN: 9780769528755
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200) > Biological Mathematics (010202)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > GENETICS (060400) > Molecular Evolution (060409)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2007 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 07 Aug 2008 00:00
Last Modified: 06 Mar 2015 00:58

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page