DocumentCode :
3232481
Title :
A DNA sequence distance measure approach for phylogenetic tree construction
Author :
Wei, Dan ; Jiang, Qingshan
Author_Institution :
Cognitive Sci. Dept., Xiamen Univ., Xiamen, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
204
Lastpage :
212
Abstract :
Distance measure is an important issue in phylogenetic analysis. Traditional measure approaches are time-consuming due to the fact that they require multiple sequence alignment, while the k-tuple distance is easy to compute and has been used in phylogenetic tree reconstruction. However, k-tuple distance is not effective for analysing identical sequences. Considering the occurrences of k-tuples and the sequence structure which may contain k-tuple locations as well as the order relation among them, we propose a new distance measure method to construct phylogenetic tree in this paper. The experimental results show that the new approach is capable of efficiently building phylogenetic trees.
Keywords :
DNA; biology computing; evolution (biological); genetics; sequences; trees (mathematics); DNA sequence distance measure approach; identical sequences; k-tuple distance; k-tuple locations; multiple sequence alignment; phylogenetic analysis; phylogenetic tree construction; sequence structure; Artificial neural networks; Bioinformatics; Genomics; Horses; Mice; Rodents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645329
Filename :
5645329
Link To Document :
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