Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing

Haplotype information is crucial for biomedical and population genetics research. However, current strategies to produce de novo haplotype-resolved assemblies often require either difficult-to-acquire parental data or an intermediate haplotype-collapsed assembly. Here, we present Graphasing, a workflow which synthesizes the global phase signal of Strand-seq with assembly graph topology to produce chromosome-scale de novo haplotypes for diploid genomes. Graphasing readily integrates with any assembly workflow that both outputs an assembly graph and has a haplotype assembly mode. Graphasing performs comparably to trio phasing in contiguity, phasing accuracy, and assembly quality, outperforms Hi-C in phasing accuracy, and generates human assemblies with over 18 chromosome-spanning haplotypes.

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Publication Details

Journal
Genome biology
Published
2024-10-10
DOI
https://doi.org/10.1186/s13059-024-03409-1
Citations
10
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
6.00

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article

Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing

Evan E. Eichler, Sergey Koren, William T. Harvey, Mir Henglin et al.
10 citations
Genome biology
Chromosomal and Genetic Variations
6.00
article

Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing

Evan E. Eichler, Sergey Koren, William T. Harvey, Mir Henglin, Peter Ebert, Maryam Ghareghani, Tobias Marschall, David Porubský
article en
10 citations

Abstract

Haplotype information is crucial for biomedical and population genetics research. However, current strategies to produce de novo haplotype-resolved assemblies often require either difficult-to-acquire parental data or an intermediate haplotype-collapsed assembly. Here, we present Graphasing, a workflow which synthesizes the global phase signal of Strand-seq with assembly graph topology to produce chromosome-scale de novo haplotypes for diploid genomes. Graphasing readily integrates with any assembly workflow that both outputs an assembly graph and has a haplotype assembly mode. Graphasing performs comparably to trio phasing in contiguity, phasing accuracy, and assembly quality, outperforms Hi-C in phasing accuracy, and generates human assemblies with over 18 chromosome-spanning haplotypes.

Genome biologyVol. 25(1)
National Institutes of Health (US), Howard Hughes Medical Institute (US), University of Washington (US), Düsseldorf University Hospital (DE), National Human Genome Research Institute (US), Max Planck Institute for Molecular Genetics (DE), Heinrich Heine University Düsseldorf (DE), Freie Universität Berlin (DE)
University of California, Santa Cruz
Openalex Percentile: Top 4%
Chromosomal and Genetic Variations
6.00
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