利用MAGmax增强宏基因组样本的基因组恢复。

IF 5.4
Arangasamy Yazhini, Johannes Söding
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引用次数: 0

摘要

摘要:随着宏基因组研究规模的扩大,宏基因组组装基因组(MAGs)的数量迅速增加,推动了微生物组研究的快速发展。基于样本的装配由于其计算效率和应变级分辨率而成为标准。它需要去复制,去除在不同宏基因组样本中组装的几乎相同的基因组。我们提出了MAGmax,一个有效的反复制工具,通过bin合并和重组策略提高了MAGs的数量和质量。与dRep不同的是,它在每个基因组簇中选择一个具有代表性的bin, MAGmax在一个簇中合并多个bin并重新组装它们以增加覆盖率。MAGmax的速度是dRep的1.6倍,使用的内存却只有dRep的三分之一。可用性和实现:MAGmax开源软件,用Rust实现,在GPLv3许可下可在https://github.com/soedinglab/MAGmax.Supplementary上获得信息:补充数据可在Bioinformatics在线获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing genome recovery across metagenomic samples using MAGmax.

Summary: The number of metagenome-assembled genomes (MAGs) is rapidly increasing with the growing scale of metagenomic studies, driving fast progress in microbiome research. Sample-wise assembly has become the standard due to its computational efficiency and strain-level resolution. It requires dereplication, the removal of near-identical genomes assembled in different metagenomic samples. We present MAGmax, an efficient dereplication tool that enhances both the quantity and quality of MAGs through a strategy of bin merging and reassembly. Unlike dRep, which selects a single representative bin per genome cluster, MAGmax merges multiple bins within a cluster and reassembles them to increase coverage. MAGmax produces more dereplicated, higher-quality MAGs than dRep at 1.6× its speed and using three times less memory.

Availability and implementation: The MAGmax open source software, implemented in Rust, is available under the GPLv3 license at https://github.com/soedinglab/MAGmax.

Supplementary information: Supplementary data are available at Bioinformatics online.

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