Title

Authors

Affiliation

Department of Computer Science, East Stroudsburg University, East Stroudsburg, PA 18301

Email

dche@esu.edu; *Corresponding author

Article Type

Hypothesis

Date

Received March 24, 2013; Accepted March 25, 2013; Published April 13, 2013

Phylogenetic trees are used to represent evolutionary relationships among biological species or organisms. The construction of phylogenetic trees is based on the similarities or differences of their physical or genetic features. Traditional approaches of constructing phylogenetic trees mainly focus on physical features. The recent advancement of high-throughput technologies has led to accumulation of huge amounts of biological data, which in turn changed the way of biological studies in various aspects. In this paper, we report our approach of building phylogenetic trees using the information of interacting pathways. We have applied hierarchical clustering on two domains of organisms—eukaryotes and prokaryotes. Our preliminary results have shown the effectiveness of using the interacting pathways in revealing evolutionary relationships.

Keywords

Phylogenetic trees, Metabolome, Hierarchical clustering, Interacting pathways.

Citation

Wan & Che,   Bioinformation 9(7): 363-367 (2013)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.