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Fast and accurate long-read assembly with wtdbg2.

Author information

Affiliations

  • 1. Agricultural Genomics Institute, Chinese Academy of Agriculture Sciences, Shenzhen, China.
      Authors
    • Ruan J 1
    (1 author)
  • 2. Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
      Authors
    • Li H 2
    (1 author)

ORCIDs linked to this article

Nature Methods, 09 Dec 2019, 17(2):155-158
https://doi.org/10.1038/s41592-019-0669-3 PMID: 31819265 PMCID: PMC7004874

This article is in the Europe PMC Open access subset. Refer to the copyright information in the article for licensing details.
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This article is based on a previously available preprint.

Abstract 

Existing long-read assemblers require thousands of central processing unit hours to assemble a human genome and are being outpaced by sequencing technologies in terms of both throughput and cost. We developed a long-read assembler wtdbg2 (https://github.com/ruanjue/wtdbg2) that is 2-17 times as fast as published tools while achieving comparable contiguity and accuracy. It paves the way for population-scale long-read assembly in future.

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Read article at publisher's site: https://doi.org/10.1038/s41592-019-0669-3

Read article for free, from open access legal sources, via Unpaywall: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004874Unpaywall

Citations & impact 

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Data 

Data behind the article

This data has been text mined from the article, or deposited into data resources.

BioStudies: supplemental material and supporting data

GCA - NCBI genaome assembly (3)

Similar Articles 

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Funding 

Funders who supported this work.

NHGRI NIH HHS (1)

National Natural Science Foundation of China (2)

U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (1)