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.

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: (1) ASTRAL for single-copy gene tree topologies, (2) weighted ASTRAL (wASTRAL) for singlecopy gene tees with branch length and/or support, (3) ASTRAL-Pro for multi-copy gene tree topologies, (4) CASTER for multiple sequence alignments, including genome alignments, and (5)WASTER for shortreads 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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