Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2818804 | Gene | 2009 | 6 Pages |
Abstract
Many studies have been contributed to the inferences of phylogenies. Some studies are based on a single-gene (family), and some are based on entire genome data. In this paper, we propose a total loss genome distance approach based on gene content information to inferring phylogenies. Through various simulations, we demonstrate and evaluate the proposed approach. We compare it with some other approaches built upon gene content or extended gene content. Overall, the proposed approach performs equally well as the other methods do and is more efficient than some of the methods. We apply our approach to 34 microbial complete genomes from COG. The reconstructed tree agrees with the results from other approaches and the tree supports the concept of universal trees.
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Authors
Hongmei Zhang, Yang Zhong, Bailin Hao, Xun Gu,