phylotree.js 一个JavaScript库，用于开发涉及应用程序和交互式可视化文件，编写为的扩展。 它生成高质量的SVG矢量图形，允许高度自定义（CSS或JavaScript回调），并带有许多内置的便利功能。 如果发布使用phylotree.js的结果，请引用： 史蒂芬·D·尚克，史蒂芬·韦弗，谢尔盖·科萨科夫斯基池塘。 phylotree.js-一个在系统发育学中用于应用程序开发和交互式数据可视化JavaScript库。 BMC Bioinformatics，2018年，第19卷，第1号，第1页 文献资料 phylotree.js的文档可以在。 例子 使用phylotree.js ，可以将系统发生树与各种其他软件进行接口，以生成系统发生数据的自定义交互式可视化图像。 一个简单的示例需要： 而一个复杂的示例涉及： 画廊 是学习phylotree.js可用于显示和注释树的不

The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification.In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems and has been adopted as a computational environment by many authors of statistical software. Adopting R as a main tool for phylogenetic analyses will ease the workflow in biologists' data analyses, ensure greater scientific repeatability, and enhance the exchange of ideas and methodological developments. The second edition is completely updated, covering the full gamut of R packages for this area that have been introduced  to the market since its previous publication five years ago. There is also  a new chapter on the simulation of evolutionary data.  Graduate students and researchers in evolutionary biology can use this book as a reference for data analyses, whereas researchers in bioinformatics interested in evolutionary analyses will learn how to implement these methods in R. The book starts with a presentation of different R packages and gives a short introduction to R for phylogeneticists unfamiliar with this language. The basic phylogenetic topics are covered: manipulation of phylogenetic data, phylogeny estimation, tree drawing, phylogenetic comparative methods, and estimation of ancestral characters. The chapter on tree drawing uses R's powerful graphical environment. A section deals with the analysis of diversification with phylogenies, one of the author's favorite research topics. The last chapter is devoted to the development of phylogenetic methods with R and interfaces with other languages (C and C++). Some exercises conclude these chapters.

一本很好，很强大的，关于如何使用R进行进化树构建，模型选择，结果评估的书本