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Haplotype-resolved de novo assembly with phased assembly graphs

2020/08/03 by Haoyu Cheng, Gregory T. Concepcion, Gregory T Concepcion +3 · 381 citations
Biochemistry, Genetics and Molecular Biology · #Genetic Associations and Epidemiology #Genetic Mapping and Diversity in Plants and Animals #Genomics and Phylogenetic Studies #q-bio.GN #q-bio.QM

paper · pdf · doi:10.1038/s41592-020-01056-5

published as Nature Methods, 2021 · 11 pages, 3 figures, 3 tables

arxiv created 2020/08/03 · openalex created_date 2020/08/10 · crossref issued 2021/02/01 · crossref published 2021/02/01 · crossref published-online 2021/02/01 · crossref published-print 2021/02/01 · openalex publication_date 2021/02/01 · crossref created 2021/02/01 · arxiv updated 2021/02/03 · crossref deposited 2023/10/19 · crossref indexed 2026/07/30 · openalex updated_date 2026/07/31

Abstract

Haplotype-resolved de novo assembly is the ultimate solution to the study of sequence variations in a genome. However, existing algorithms either collapse heterozygous alleles into one consensus copy or fail to cleanly separate the haplotypes to produce high-quality phased assemblies. Here we describe hifiasm, a new de novo assembler that takes advantage of long high-fidelity sequence reads to faithfully represent the haplotype information in a phased assembly graph. Unlike other graph-based assemblers that only aim to maintain the contiguity of one haplotype, hifiasm strives to preserve the contiguity of all haplotypes. This feature enables the development of a graph trio binning algorithm that greatly advances over standard trio binning. On three human and five non-human datasets, including California redwood with a ∼30-gigabase hexaploid genome, we show that hifiasm frequently delivers better assemblies than existing tools and consistently outperforms others on haplotype-resolved assembly.

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