Valiente Gabriel
Algorithms, Bioinformatics, Complexity and Formal Methods Research Group, Technical University of Catalonia, E-08034 Barcelona, Spain.
Genome Inform. 2006;17(2):131-40.
The comparative analysis of phylogenies obtained using different phylogenetic methods or different gene sequences for a given set of species, is usually done by computing some quantitative measure of similarity between the phylogenetic trees. Such a quantitative approach provides little insight into the actual similarities and differences between the alternative phylogenies. In this paper, we present a method for the qualitative assessment of a phylogenetic tree against a reference taxonomy, based on highlighting their common clusters. Our algorithms build a reference taxonomy for the taxa present in a given phylogenetic tree and produce a dendogram for the input phylogenetic tree, with branches in those clusters common to the reference taxonomy highlighted. Our implementation of the algorithms produces publication-quality graphics. For unrooted phylogenies, the method produces a radial cladogram for the input phylogenetic tree, with branches in common clusters to the reference taxonomy highlighted.
对于给定的一组物种,使用不同的系统发育方法或不同的基因序列获得的系统发育树的比较分析,通常是通过计算系统发育树之间某种相似性的定量指标来完成的。这种定量方法几乎无法深入了解不同系统发育树之间实际的异同之处。在本文中,我们提出了一种基于突出共同聚类的方法,用于针对参考分类法对系统发育树进行定性评估。我们的算法为给定系统发育树中存在的分类单元构建一个参考分类法,并为输入的系统发育树生成一个树状图,突出显示与参考分类法共有的那些聚类中的分支。我们算法的实现生成了具有发表质量的图形。对于无根系统发育树,该方法为输入的系统发育树生成一个径向分支图,突出显示与参考分类法共有的聚类中的分支。