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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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Arang Rhie
Brian P. Walenz
Sergey Koren
SHILAP Revista de lepidopterología
Genome biology
National Institutes of Health
National Human Genome Research Institute
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Rhie et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69b87b6ba1f51064fcd62c21 — DOI: https://doi.org/10.1186/s13059-020-02134-9