The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Assembly of long error-prone reads using de Bruijn graphs
Open accessAbstract
Significance: When the long reads generated using single-molecule se-quencing (SMS) technology were made available, most researchers were skeptical about the ability of existing algorithms to generate high-quality assemblies from long error-prone reads. Nevertheless, recent algorithmic breakthroughs resulted in many successful SMS sequencing projects. However, as the recent assemblies of important plant pathogens illustrate, the problem of assembling long error-prone reads is far from being resolved even in the case of relatively short bacterial genomes. We propose an algorithmic approach for assembling long error-prone reads and describe the ABruijn assembler, which results in accurate genome reconstructions.
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Cited by
Assembly of long, error-prone reads using repeat graphs
Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0072-8 · Cited by 5,986
Self-citationPiercing the dark matter: bioinformatics of long-range sequencing and mapping
Sedlazeck, F. J., Lee, H., Darby, C. A., & Schatz, M. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0003-4 · Cited by 530
New approaches for genome assembly and scaffolding
Rice, E. S., & Green, R. E. (2019) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-020518-115344 · Cited by 110
Tamburini, F. B., Maghini, D., Oduaran, O. H., Brewster, R., Hulley, M. R., Sahibdeen, V., Norris, S. A., Tollman, S., Kahn, K., Wagner, R. G., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27917-x · Cited by 88
Viruses of sulfur oxidizing phototrophs encode genes for pigment, carbon, and sulfur metabolisms
Hesketh-Best, P. J., Bosco-Santos, A., Garcia, S. L., O’Beirne, M. D., Werne, J. P., Gilhooly, W. P., & Silveira, C. B. (2023) · Communications Earth & Environment · doi:10.1038/s43247-023-00796-4 · Cited by 16
Metadata
- Authors
- Lin, Y., Yuan, J., Kolmogorov, M., Shen, M. W., Chaisson, M., & Pevzner, P. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2016-12-12
- Volume
- 113
- Issue
- 52
- Pages
- E8396-E8405
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2562683361
- Cited by
- 382
- References
- 67
- FWCI
- 7.67
- Type
- journal article
- Language
- en
- Open access
- green
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