Evidence map›Paper›PMID 28298431›Full record

ArticleGenome research2017

Canu: scalable and accurate long-read assembly via adaptive

Sergey Koren, Brian P Walenz, Konstantin Berlin, Jason R Miller, Nicholas H Bergman, Adam M Phillippy

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4,551 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4,551citing papers in PubMed, 1 pooled it
–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

4,551 citing papers in PubMed, 1 synthesis or guideline pooled it, 8,028 citations in OpenAlex.

  1. Pooled it
  2. Trial
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4,491 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

6 authors at 4 institutions in 2 countries.

Sergey KorenGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Brian P WalenzGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Konstantin BerlinInvincea Incorporated, Fairfax, Virginia 22030, USA.
Jason R MillerJ. Craig Venter Institute, Rockville, Maryland 20850, USA.
Nicholas H BergmanNational Biodefense Analysis and Countermeasures Center, Frederick, Maryland 21702, USA.
Adam M PhillippyGenome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.ORCID 0000-0003-2983-8934
National Institutes of Health · USChemring Countermeasures (United Kingdom) · GBInova Fairfax Hospital · USJ. Craig Venter Institute · US

Funding

Single-molecule sequence assembly and analysisZIAHG200398 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PHILLIPPY, ADAM · 2016 to 2025
$15.9M
6 · The paper itself

Abstract

Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. However, given the relatively high error rates of such technologies, efficient and accurate assembly of large repeats and closely related haplotypes remains challenging. We address these issues with Canu, a successor of Celera Assembler that is specifically designed for noisy single-molecule sequences. Canu introduces support for nanopore sequencing, halves depth-of-coverage requirements, and improves assembly continuity while simultaneously reducing runtime by an order of magnitude on large genomes versus Celera Assembler 8.2. These advances result from new overlapping and assembly algorithms, including an adaptive overlapping strategy based on

Indexed as

SoftwareAnimalsContig MappingDrosophila melanogasterGenome, BacterialGenomicsHumansRepetitive Sequences, Nucleic AcidSequence Analysis, DNA

Identifiers

PMID28298431
PMCPMC5411767
OpenAlexW2950354111

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.