ASTER:一个用于大规模系统基因组重建的软件包。

IF 5.3 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Chao Zhang, Rasmus Nielsen, Siavash Mirarab
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引用次数: 0

摘要

在考虑基因树不一致性的情况下,有许多算法可以从不同的输入类型推断物种树。几个基于四重奏的物种树推断方法,统称为ASTRAL家族,是基于类似的想法,并被广泛使用。在这里,我们将所有类似ASTRAL的方法整合到一个名为ASTER的单一软件包中,其中包括几个工具,每个工具都针对不同的输入类型设计:(1)ASTRAL用于单拷贝基因树拓扑结构,(2)weighted ASTRAL (wasstral)用于具有分支长度和/或支持的单拷贝基因序列,(3)ASTRAL- pro用于多拷贝基因树拓扑结构,(4)CASTER用于多序列比对,包括基因组比对,(5)ASTER用于短读和组装基因组。这些工具共同增强了物种树推理的可扩展性、准确性和多功能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ASTER: A Package for Large-Scale Phylogenomic Reconstructions.

ASTER: A Package for Large-Scale Phylogenomic Reconstructions.

Many algorithms are available for inferring species trees from various input types while accounting for gene tree discordance. Several quartet-based species tree inference methods, collectively known as the ASTRAL family, are based on similar ideas and are in wide use. Here, we integrate all ASTRAL-like methods into a single package called ASTER, comprising several tools, each designed for a different input type: (i) ASTRAL for single-copy gene tree topologies, (ii) weighted ASTRAL (wASTRAL) for single-copy gene tees with branch length and/or support, (iii) ASTRAL-Pro for multi-copy gene tree topologies, (iv) CASTER for multiple sequence alignments, including genome alignments, and (v) WASTER for short-reads and assembled genomes. These tools collectively enhance the scalability, accuracy, and versatility of species tree inference.

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来源期刊
Molecular biology and evolution
Molecular biology and evolution 生物-进化生物学
CiteScore
19.70
自引率
3.70%
发文量
257
审稿时长
1 months
期刊介绍: Molecular Biology and Evolution Journal Overview: Publishes research at the interface of molecular (including genomics) and evolutionary biology Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.
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