完备性(序理论)
移相器
基因组
k-mer公司
生物
顺序装配
计算机科学
集合(抽象数据类型)
计算生物学
数据挖掘
遗传学
数学
工程类
基因
程序设计语言
基因表达
转录组
数学分析
电气工程
作者
Arang Rhie,Brian Walenz,Sergey Koren,Adam M. Phillippy
出处
期刊:Genome Biology
[Springer Nature]
日期:2020-09-14
卷期号:21 (1)
被引量:971
标识
DOI:10.1186/s13059-020-02134-9
摘要
Abstract Recent long-read assemblies often exceed the quality and completeness of available reference genomes, making validation challenging. Here we present Merqury, a novel tool for reference-free assembly evaluation based on efficient k-mer set operations. By comparing k-mers in a de novo assembly to those found in unassembled high-accuracy reads, Merqury estimates base-level accuracy and completeness. For trios, Merqury can also evaluate haplotype-specific accuracy, completeness, phase block continuity, and switch errors. Multiple visualizations, such as k-mer spectrum plots, can be generated for evaluation. We demonstrate on both human and plant genomes that Merqury is a fast and robust method for assembly validation.
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