系统发育树
树(集合论)
集合(抽象数据类型)
最近的共同祖先
计算机科学
贝叶斯概率
克莱德
软件
数学
人工智能
组合数学
生物
程序设计语言
生物化学
基因
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2010-03-12
卷期号:26 (10): 1372-1373
被引量:659
标识
DOI:10.1093/bioinformatics/btq110
摘要
Abstract Motivation: Bayesian analysis through programs like BEAST (Drummond and Rumbaut, 2007) and MrBayes (Huelsenbeck et al., 2001) provides a powerful method for reconstruction of evolutionary relationships. One of the benefits of Bayesian methods is that well-founded estimates of uncertainty in models can be made available. So, for example, not only the mean time of a most recent common ancestor (tMRCA) is estimated, but also the spread. This distribution over model space is represented by a set of trees, which can be rather large and difficult to interpret. DensiTree is a tool that helps navigating these sets of trees. Results: The main idea behind DensiTree is to draw all trees in the set transparently. As a result, areas where a lot of the trees agree in topology and branch lengths show up as highly colored areas, while areas with little agreement show up as webs. This makes it possible to quickly get an impression of properties of the tree set such as well-supported clades, distribution of tMRCA and areas of topological uncertainty. Thus, DensiTree provides a quick method for qualitative analysis of tree sets. Availability: DensiTree is freely available from http://compevol.auckland.ac.nz/software/DensiTree/. The program is licensed under GPL and source code is available. Contact: remco@cs.auckland.ac.nz
科研通智能强力驱动
Strongly Powered by AbleSci AI