系统发育树
计算系统发育学
树重组
系统发育网络
最大节俭
单系
树(集合论)
系统发育学
构造(python库)
生物
贝叶斯定理
进化生物学
计算生物学
计算机科学
人工智能
数学
遗传学
组合数学
贝叶斯概率
基因
克莱德
程序设计语言
作者
Henrik Christensen,John Elmer Dahl Olsen
出处
期刊:Learning materials in biosciences
日期:2023-01-01
卷期号:: 111-130
标识
DOI:10.1007/978-3-031-45293-2_6
摘要
Phylogeny is a model of the relationships between organisms, genes, proteins, or other structures based on common ancestry. It is also used for epidemiological investigations and analysis of parallel evolution between host and parasite. Phylogenetic trees can be visualized as dendrograms or as radial trees. The most important information read from a phylogenetic tree is the location of the different monophyletic groups. The main types of model parameters needed to construct a tree from a given dataset are the tree shape and the substitution matrix. One of the four types of phylogenetic methods (maximum parsimony, neighbor joining, maximum likelihood and Mr. Bayes) can then be used to construct the tree. The strength of trees can be evaluated by bootstrap analysis. The major data formats used as input for phylogenetic programs are presented as well as the major program packages. Finally, the reader is guided to the construct own neighbor joining tree.
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