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Estimating the quality of eukaryotic genomes recovered from metagenomic analysis with EukCC
Genome Biology ( IF 10.1 ) Pub Date : 2020-09-10 , DOI: 10.1186/s13059-020-02155-4
Paul Saary 1 , Alex L Mitchell 1 , Robert D Finn 1
Affiliation  

Microbial eukaryotes constitute a significant fraction of biodiversity and have recently gained more attention, but the recovery of high-quality metagenomic assembled eukaryotic genomes is limited by the current availability of tools. To help address this, we have developed EukCC, a tool for estimating the quality of eukaryotic genomes based on the automated dynamic selection of single copy marker gene sets. We demonstrate that our method outperforms current genome quality estimators, particularly for estimating contamination, and have applied EukCC to datasets derived from two different environments to enable the identification of novel eukaryote genomes, including one from the human skin.

中文翻译:

使用 EukCC 评估从宏基因组分析中恢复的真核基因组的质量

微生物真核生物构成了生物多样性的重要组成部分,最近受到了更多关注,但高质量宏基因组组装真核生物基因组的恢复受到当前工具可用性的限制。为了帮助解决这个问题,我们开发了 EukCC,这是一种基于单拷贝标记基因集的自动动态选择来估计真核基因组质量的工具。我们证明我们的方法优于当前的基因组质量估计器,特别是在估计污染方面,并且已将 EukCC 应用于源自两种不同环境的数据集,以识别新的真核生物基因组,包括来自人类皮肤的基因组。
更新日期:2020-09-10
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