Verkko2 integrates proximity-ligation data with long-read De Bruijn graphs for efficient telomere-to-telomere genome assembly, phasing, and scaffolding

The Telomere-to-Telomere Consortium recently finished the first truly complete sequence of a human genome. To resolve the most complex repeats, this project relied on the semimanual combination of long, accurate Pacific Biosciences (PacBio) HiFi and ultralong Oxford Nanopore Technologies sequencing reads. The Verkko assembler later automated this process, achieving complete assemblies for approximately half of the chromosomes in a diploid human genome. However, the first version of Verkko was computationally expensive and could not resolve all regions of a typical human genome. Here we present Verkko2, which implements a more efficient read correction algorithm, improves repeat resolution and gap closing, introduces proximity-ligation-based haplotype phasing and scaffolding, and adds support for multiple long-read data types. These enhancements allow Verkko2 to assemble all regions of a diploid human genome, including the short arms of the acrocentric chromosomes and both sex chromosomes. Together, these changes increase the number of telomere-to-telomere scaffolds by twofold, reduce runtime by fourfold, and improve assembly correctness. On a panel of 19 human genomes, Verkko2 assembles an average of 39 of 46 complete chromosomes as scaffolds, with 21 of these assembled as gapless contigs. Together, these improvements enable telomere-to-telomere comparative genomics and pangenomics, at scale.

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Journal
Genome Research
Published
2025-05-19
DOI
https://doi.org/10.1101/gr.280383.124
Citations
18
Primary Topic
Chromosomal and Genetic Variations
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article

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article

Verkko2 integrates proximity-ligation data with long-read De Bruijn graphs for efficient telomere-to-telomere genome assembly, phasing, and scaffolding

Brian P. Walenz, Mikko Rautiainen, Dmitry Antipov, Sergey Koren et al.
18 citations
Genome Research
Chromosomal and Genetic Variations
article

Verkko2 integrates proximity-ligation data with long-read De Bruijn graphs for efficient telomere-to-telomere genome assembly, phasing, and scaffolding

Brian P. Walenz, Mikko Rautiainen, Dmitry Antipov, Sergey Koren, Sergey Nurk, Steven J. Solar, Adam M. Phillippy
article en
18 citations

Abstract

The Telomere-to-Telomere Consortium recently finished the first truly complete sequence of a human genome. To resolve the most complex repeats, this project relied on the semimanual combination of long, accurate Pacific Biosciences (PacBio) HiFi and ultralong Oxford Nanopore Technologies sequencing reads. The Verkko assembler later automated this process, achieving complete assemblies for approximately half of the chromosomes in a diploid human genome. However, the first version of Verkko was computationally expensive and could not resolve all regions of a typical human genome. Here we present Verkko2, which implements a more efficient read correction algorithm, improves repeat resolution and gap closing, introduces proximity-ligation-based haplotype phasing and scaffolding, and adds support for multiple long-read data types. These enhancements allow Verkko2 to assemble all regions of a diploid human genome, including the short arms of the acrocentric chromosomes and both sex chromosomes. Together, these changes increase the number of telomere-to-telomere scaffolds by twofold, reduce runtime by fourfold, and improve assembly correctness. On a panel of 19 human genomes, Verkko2 assembles an average of 39 of 46 complete chromosomes as scaffolds, with 21 of these assembled as gapless contigs. Together, these improvements enable telomere-to-telomere comparative genomics and pangenomics, at scale.

Genome ResearchVol. 35(7)
University of Helsinki (FI), National Human Genome Research Institute (US), Finland University (FI), National Institute of Health of Thailand (TH), Institute for Molecular Medicine Finland (FI), Oxford Nanopore Technologies (United Kingdom) (GB)
U.S. Department of Agriculture, China Scholarship Council, National Institutes of Health, National Institute of Food and Agriculture, High Performance Research Computing, Texas A and M University, National Human Genome Research Institute
Chromosomal and Genetic Variations
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