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metaFlye: scalable long-read metagenome assembly using repeat graphs. / Kolmogorov, Mikhail; Bickhart, Derek M. ; Behsaz, Bahar; Гуревич, Алексей Александрович; Райко, Михаил Петрович; Shin, Sung Bong ; Kuhn, Kristen ; Yuan, Jeffrey ; Polevikov, Evgeny ; Smith, Timothy P. L. ; Певзнер, Павел Аркадьевич.

In: Nature Methods, Vol. 17, No. 11, 01.11.2020, p. 1103-1110.

Research output: Contribution to journalArticlepeer-review

Harvard

Kolmogorov, M, Bickhart, DM, Behsaz, B, Гуревич, АА, Райко, МП, Shin, SB, Kuhn, K, Yuan, J, Polevikov, E, Smith, TPL & Певзнер, ПА 2020, 'metaFlye: scalable long-read metagenome assembly using repeat graphs', Nature Methods, vol. 17, no. 11, pp. 1103-1110. https://doi.org/10.1038/s41592-020-00971-x

APA

Kolmogorov, M., Bickhart, D. M., Behsaz, B., Гуревич, А. А., Райко, М. П., Shin, S. B., Kuhn, K., Yuan, J., Polevikov, E., Smith, T. P. L., & Певзнер, П. А. (2020). metaFlye: scalable long-read metagenome assembly using repeat graphs. Nature Methods, 17(11), 1103-1110. https://doi.org/10.1038/s41592-020-00971-x

Vancouver

Kolmogorov M, Bickhart DM, Behsaz B, Гуревич АА, Райко МП, Shin SB et al. metaFlye: scalable long-read metagenome assembly using repeat graphs. Nature Methods. 2020 Nov 1;17(11):1103-1110. https://doi.org/10.1038/s41592-020-00971-x

Author

Kolmogorov, Mikhail ; Bickhart, Derek M. ; Behsaz, Bahar ; Гуревич, Алексей Александрович ; Райко, Михаил Петрович ; Shin, Sung Bong ; Kuhn, Kristen ; Yuan, Jeffrey ; Polevikov, Evgeny ; Smith, Timothy P. L. ; Певзнер, Павел Аркадьевич. / metaFlye: scalable long-read metagenome assembly using repeat graphs. In: Nature Methods. 2020 ; Vol. 17, No. 11. pp. 1103-1110.

BibTeX

@article{fa4e346f1f2c4517a966b14fe9575a69,
title = "metaFlye: scalable long-read metagenome assembly using repeat graphs",
abstract = "Long-read sequencing technologies have substantially improved the assemblies of many isolate bacterial genomes as compared to fragmented short-read assemblies. However, assembling complex metagenomic datasets remains difficult even for state-of-the-art long-read assemblers. Here we present metaFlye, which addresses important long-read metagenomic assembly challenges, such as uneven bacterial composition and intra-species heterogeneity. First, we benchmarked metaFlye using simulated and mock bacterial communities and show that it consistently produces assemblies with better completeness and contiguity than state-of-the-art long-read assemblers. Second, we performed long-read sequencing of the sheep microbiome and applied metaFlye to reconstruct 63 complete or nearly complete bacterial genomes within single contigs. Finally, we show that long-read assembly of human microbiomes enables the discovery of full-length biosynthetic gene clusters that encode biomedically important natural products.",
keywords = "HUMAN GENOME, IDENTIFICATION, REVEALS",
author = "Mikhail Kolmogorov and Bickhart, {Derek M.} and Bahar Behsaz and Гуревич, {Алексей Александрович} and Райко, {Михаил Петрович} and Shin, {Sung Bong} and Kristen Kuhn and Jeffrey Yuan and Evgeny Polevikov and Smith, {Timothy P. L.} and Певзнер, {Павел Аркадьевич}",
note = "Publisher Copyright: {\textcopyright} 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.",
year = "2020",
month = nov,
day = "1",
doi = "10.1038/s41592-020-00971-x",
language = "English",
volume = "17",
pages = "1103--1110",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Nature Publishing Group",
number = "11",

}

RIS

TY - JOUR

T1 - metaFlye: scalable long-read metagenome assembly using repeat graphs

AU - Kolmogorov, Mikhail

AU - Bickhart, Derek M.

AU - Behsaz, Bahar

AU - Гуревич, Алексей Александрович

AU - Райко, Михаил Петрович

AU - Shin, Sung Bong

AU - Kuhn, Kristen

AU - Yuan, Jeffrey

AU - Polevikov, Evgeny

AU - Smith, Timothy P. L.

AU - Певзнер, Павел Аркадьевич

N1 - Publisher Copyright: © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.

PY - 2020/11/1

Y1 - 2020/11/1

N2 - Long-read sequencing technologies have substantially improved the assemblies of many isolate bacterial genomes as compared to fragmented short-read assemblies. However, assembling complex metagenomic datasets remains difficult even for state-of-the-art long-read assemblers. Here we present metaFlye, which addresses important long-read metagenomic assembly challenges, such as uneven bacterial composition and intra-species heterogeneity. First, we benchmarked metaFlye using simulated and mock bacterial communities and show that it consistently produces assemblies with better completeness and contiguity than state-of-the-art long-read assemblers. Second, we performed long-read sequencing of the sheep microbiome and applied metaFlye to reconstruct 63 complete or nearly complete bacterial genomes within single contigs. Finally, we show that long-read assembly of human microbiomes enables the discovery of full-length biosynthetic gene clusters that encode biomedically important natural products.

AB - Long-read sequencing technologies have substantially improved the assemblies of many isolate bacterial genomes as compared to fragmented short-read assemblies. However, assembling complex metagenomic datasets remains difficult even for state-of-the-art long-read assemblers. Here we present metaFlye, which addresses important long-read metagenomic assembly challenges, such as uneven bacterial composition and intra-species heterogeneity. First, we benchmarked metaFlye using simulated and mock bacterial communities and show that it consistently produces assemblies with better completeness and contiguity than state-of-the-art long-read assemblers. Second, we performed long-read sequencing of the sheep microbiome and applied metaFlye to reconstruct 63 complete or nearly complete bacterial genomes within single contigs. Finally, we show that long-read assembly of human microbiomes enables the discovery of full-length biosynthetic gene clusters that encode biomedically important natural products.

KW - HUMAN GENOME

KW - IDENTIFICATION

KW - REVEALS

UR - http://www.scopus.com/inward/record.url?scp=85092099293&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/b37625c6-229a-3690-8318-3ff0a8070a59/

U2 - 10.1038/s41592-020-00971-x

DO - 10.1038/s41592-020-00971-x

M3 - Article

VL - 17

SP - 1103

EP - 1110

JO - Nature Methods

JF - Nature Methods

SN - 1548-7091

IS - 11

ER -

ID: 62913419