BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference.

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Guy Baele, Xiang Ji, Gabriel W Hassler, John T McCrone, Yucai Shao, Zhenyu Zhang, Andrew J Holbrook, Philippe Lemey, Alexei J Drummond, Andrew Rambaut, Marc A Suchard
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引用次数: 0

Abstract

Here we present the open-source and cross-platform BEAST X software that combines molecular phylogenetic reconstruction with complex trait evolution, divergence-time dating and coalescent demographics in an efficient statistical inference engine. BEAST X significantly advances the flexibility and scalability of evolutionary models supported. Novel clock and substitution models leverage a large variety of evolutionary processes; discrete, continuous and mixed traits with missingness and measurement errors; and fast, gradient-informed integration techniques that rapidly traverse high-dimensional parameter spaces.

BEAST X用于贝叶斯系统发育、系统地理和系统动力学推断。
在这里,我们展示了开源和跨平台的BEAST X软件,它将分子系统发育重建与复杂的特征进化、分歧时间测年和聚结人口统计学结合在一个高效的统计推断引擎中。BEAST X显著提高了所支持的进化模型的灵活性和可伸缩性。新颖的时钟和替代模型利用了各种各样的进化过程;具有缺失和测量误差的离散、连续和混合特征;以及快速、梯度通知的集成技术,可以快速遍历高维参数空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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