| Literature DB >> 35534630 |
Xiaowen Feng1,2, Haoyu Cheng1,2, Daniel Portik3, Heng Li4,5.
Abstract
De novo assembly of metagenome samples is a common approach to the study of microbial communities. Current metagenome assemblers developed for short sequence reads or noisy long reads were not optimized for accurate long reads. We thus developed hifiasm-meta, a metagenome assembler that exploits the high accuracy of recent data. Evaluated on seven empirical datasets, hifiasm-meta reconstructed tens to hundreds of complete circular bacterial genomes per dataset, consistently outperforming other metagenome assemblers.Entities:
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Year: 2022 PMID: 35534630 PMCID: PMC9343089 DOI: 10.1038/s41592-022-01478-3
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 47.990