DocumentCode
2526971
Title
Whole genome phylogeny based on clustered signature string composition
Author
Wu, Xiaomeng ; Lin, Guohui ; Wan, Xiu-Feng ; Xu, Dong
Author_Institution
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
fYear
2005
fDate
8-11 Aug. 2005
Firstpage
53
Lastpage
54
Abstract
Peptide compositions constructed out of whole sets of protein sequences can be used as species signatures for phylogenetic analysis. To account for point mutations, an amino acid substitution model is integrated into the complete composition vectors through a novel peptide clustering algorithm. Such a refined signature is expected to highlight deeper evolutionary relationships among the species and employed into the whole genome phylogenetic analysis to define a new evolutionary distance measure. Computational experiments have been set up to validate the effectiveness of this new measure and a vertebrate evolutionary tree using a dataset of 832 proteins for 64 vertebrates is reported.
Keywords
biochemistry; biology computing; evolution (biological); genetics; molecular biophysics; pattern clustering; proteins; statistical analysis; amino acid substitution model; clustered signature string composition; composition vectors; evolutionary distance measure; genome phylogeny; peptide clustering algorithm; peptide composition; phylogenetic analysis; point mutation; protein sequence; vertebrate evolutionary tree; Amino acids; Bioinformatics; Frequency; Genetic mutations; Genomics; Information analysis; Peptides; Phylogeny; Proteins; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
Print_ISBN
0-7695-2442-7
Type
conf
DOI
10.1109/CSBW.2005.143
Filename
1540537
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