Evidence map›Paper›PMID 32801147›Full record

ArticleGenome research2020

HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads.

Sergey Nurk, Brian P Walenz, Arang Rhie, Mitchell R Vollger, Glennis A Logsdon, Robert Grothe, Karen H Miga, Evan E Eichler, Adam M Phillippy, Sergey Koren

Abstract readEvaluation Study
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 467 papers.

0numbers the graph read from it
0cells of the map it votes in
467citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

467 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Insights into the food safety implications of a commercialApplied and environmental microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

407 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sergey Nurk *Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA.ORCID 0000-0003-1301-5749
Brian P Walenz *Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA.ORCID 0000-0001-8431-1428
Arang RhieGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA.ORCID 0000-0002-9809-8127
Mitchell R VollgerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA.ORCID 0000-0002-8651-1615
Glennis A LogsdonDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA.ORCID 0000-0003-2396-0656
Robert GrothePacific Biosciences, Menlo Park, California 94025, USA.
Karen H MigaUC Santa Cruz Genomics Institute, University of California, Santa Cruz, California 95064, USA.ORCID 0000-0002-3670-4507
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA.ORCID 0000-0002-8246-4014
Adam M PhillippyGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA.ORCID 0000-0003-2983-8934
Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA.ORCID 0000-0002-1472-8962

Funding

ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
Sequence and Assembly of Segmental DuplicationsR01HG002385 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2001 to 2026
$13.3M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
IMPROVING THROUGHPUT OF LONG READS WITH HIGH CONSENSUS BASE ACCURACY TO RESOLVE REPETITIVE DNASR21HG010548 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI MIGA, KAREN HAYDEN · 2019 to 2020
$612k
Centromere Sequence, Variation, and FunctionF32GM134558 · NIGMS · UNIVERSITY OF WASHINGTON · PI LOGSDON, GLENNIS AMELIA · 2019 to 2021
$195k
NHGRI NIH HHS R01 HG002385NHGRI NIH HHS R01 HG010169NHGRI NIH HHS R21 HG010548NHGRI NIH HHS U01 HG010971NIGMS NIH HHS F32 GM134558
6 · The paper itself

Abstract

Complete and accurate genome assemblies form the basis of most downstream genomic analyses and are of critical importance. Recent genome assembly projects have relied on a combination of noisy long-read sequencing and accurate short-read sequencing, with the former offering greater assembly continuity and the latter providing higher consensus accuracy. The recently introduced Pacific Biosciences (PacBio) HiFi sequencing technology bridges this divide by delivering long reads (>10 kbp) with high per-base accuracy (>99.9%). Here we present HiCanu, a modification of the Canu assembler designed to leverage the full potential of HiFi reads via homopolymer compression, overlap-based error correction, and aggressive false overlap filtering. We benchmark HiCanu with a focus on the recovery of haplotype diversity, major histocompatibility complex (MHC) variants, satellite DNAs, and segmental duplications. For diploid human genomes sequenced to 30× HiFi coverage, HiCanu achieved superior accuracy and allele recovery compared to the current state of the art. On the effectively haploid CHM13 human cell line, HiCanu achieved an NG50 contig size of 77 Mbp with a per-base consensus accuracy of 99.999% (QV50), surpassing recent assemblies of high-coverage, ultralong Oxford Nanopore Technologies (ONT) reads in terms of both accuracy and continuity. This HiCanu assembly correctly resolves 337 out of 341 validation BACs sampled from known segmental duplications and provides the first preliminary assemblies of nine complete human centromeric regions. Although gaps and errors still remain within the most challenging regions of the genome, these results represent a significant advance toward the complete assembly of human genomes.

Indexed as

Genetic VariationAllelesAnimalsCell LineChromosome DuplicationDNA, NeoplasmDNA, SatelliteDrosophilaGenome, HumanHaplotypesHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsSequence Analysis, DNASoftwareDNA, NeoplasmDNA, Satellite

Identifiers

PMID32801147
PMCPMC7545148

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.