Hamel Lutz, Zhaxybayeva Olga, Gogarten J Peter
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI 02881, USA.
BMC Bioinformatics. 2005 Jun 6;6:139. doi: 10.1186/1471-2105-6-139.
Dekapentagonal maps depict the phylogenetic relationships of five genomes in a visually appealing diagram and can be viewed as an alternative to a single evolutionary consensus tree. In particular, the generated maps focus attention on those gene families that significantly deviate from the consensus or plurality phylogeny. PentaPlot is a software tool that computes such dekapentagonal maps given an appropriate probability support matrix.
The visualization with dekapentagonal maps critically depends on the optimal layout of unrooted tree topologies representing different evolutionary relationships among five organisms along the vertices of the dekapentagon. This is a difficult optimization problem given the large number of possible layouts. At its core our tool utilizes a genetic algorithm with demes and a local search strategy to search for the optimal layout. The hybrid genetic algorithm performs satisfactorily even in those cases where the chosen genomes are so divergent that little phylogenetic information has survived in the individual gene families.
PentaPlot is being made publicly available as an open source project at http://pentaplot.sourceforge.net.
十五边形图以一种视觉上吸引人的图表描绘了五个基因组的系统发育关系,并且可以被视为单一进化共识树的替代方案。特别地,生成的图表将注意力集中在那些显著偏离共识或多数系统发育的基因家族上。PentaPlot是一个软件工具,给定一个合适的概率支持矩阵,它可以计算出这样的十五边形图。
十五边形图的可视化严重依赖于代表五个生物体之间不同进化关系的无根树拓扑结构在十五边形顶点上的最优布局。鉴于大量可能的布局,这是一个困难的优化问题。我们的工具核心利用了一种带有deme的遗传算法和局部搜索策略来搜索最优布局。即使在所选基因组差异如此之大以至于单个基因家族中几乎没有保留系统发育信息的情况下,混合遗传算法也能令人满意地运行。
PentaPlot作为一个开源项目在http://pentaplot.sourceforge.net上公开可用。