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. Wtdbg2 assembles genomes with comparable contiguity and accuracy to existing tools using long-read sequencing data, and is several times faster, especially for large genomes.
Keywords
ContiguityComputer scienceGenomeThroughputComputational biologyPopulationSequence assemblyHuman genomeBiologyGeneticsGeneOperating system
MeSH Terms
AlgorithmsDatasets as TopicGenomeHumanHigh-Throughput Nucleotide SequencingHumans
Affiliated Institutions
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Publication Info
- Year
- 2019
- Type
- article
- Volume
- 17
- Issue
- 2
- Pages
- 155-158
- Citations
- 1466
- Access
- Closed
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Cite This
Jue Ruan,
Heng Li
(2019).
Fast and accurate long-read assembly with wtdbg2.
Nature Methods
, 17
(2)
, 155-158.
https://doi.org/10.1038/s41592-019-0669-3
Identifiers
- DOI
- 10.1038/s41592-019-0669-3
- PMID
- 31819265
- PMCID
- PMC7004874