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BinSPreader : Refine binning results for fuller MAG reconstruction. / Tolstoganov, Ivan; Kamenev, Yuri; Kruglikov, Roman; Ochkalova, Sofia; Korobeynikov, Anton.

In: iScience, Vol. 25, No. 8, 104770, 19.08.2022.

Research output: Contribution to journal › Article › peer-review

Harvard

Tolstoganov, I, Kamenev, Y, Kruglikov, R, Ochkalova, S & Korobeynikov, A 2022, 'BinSPreader: Refine binning results for fuller MAG reconstruction', iScience, vol. 25, no. 8, 104770. https://doi.org/10.1016/j.isci.2022.104770

APA

Tolstoganov, I., Kamenev, Y., Kruglikov, R., Ochkalova, S., & Korobeynikov, A. (2022). BinSPreader: Refine binning results for fuller MAG reconstruction. iScience, 25(8), [104770]. https://doi.org/10.1016/j.isci.2022.104770

Vancouver

Tolstoganov I, Kamenev Y, Kruglikov R, Ochkalova S, Korobeynikov A. BinSPreader: Refine binning results for fuller MAG reconstruction. iScience. 2022 Aug 19;25(8). 104770. https://doi.org/10.1016/j.isci.2022.104770

Author

Tolstoganov, Ivan ; Kamenev, Yuri ; Kruglikov, Roman ; Ochkalova, Sofia ; Korobeynikov, Anton. / BinSPreader : Refine binning results for fuller MAG reconstruction. In: iScience. 2022 ; Vol. 25, No. 8.

BibTeX

@article{5afa7fbe6de34bd7a8083e2b05d741cc,
title = "BinSPreader: Refine binning results for fuller MAG reconstruction",
abstract = "Despite the recent advances in high-throughput sequencing, metagenome analysis of microbial populations still remains a challenge. In particular, the metagenome-assembled genomes (MAGs) are often fragmented due to interspecies repeats, uneven coverage, and varying strain abundance. MAGs are constructed via a binning process that uses features of input data in order to cluster long contigs presumably belonging to the same species. In this work, we present BinSPreader—a binning refiner tool that exploits the assembly graph topology and other connectivity information to refine binning, correct binning errors, and propagate binning to shorter contigs. We show that BinSPreader could increase the completeness of the bins without sacrificing the purity and could predict contigs belonging to several MAGs. BinSPreader is effective in binning shorter contigs that often contain important conservative sequences that might be of great interest to researchers.",
keywords = "Algorithms, Bioinformatics, Genomics, Microbial genomics",
author = "Ivan Tolstoganov and Yuri Kamenev and Roman Kruglikov and Sofia Ochkalova and Anton Korobeynikov",
note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
month = aug,
day = "19",
doi = "10.1016/j.isci.2022.104770",
language = "English",
volume = "25",
journal = "iScience",
issn = "2589-0042",
publisher = "Cell Press",
number = "8",

}

RIS

TY - JOUR

T1 - BinSPreader

T2 - Refine binning results for fuller MAG reconstruction

AU - Tolstoganov, Ivan

AU - Kamenev, Yuri

AU - Kruglikov, Roman

AU - Ochkalova, Sofia

AU - Korobeynikov, Anton

N1 - Publisher Copyright: © 2022 The Author(s)

PY - 2022/8/19

Y1 - 2022/8/19

N2 - Despite the recent advances in high-throughput sequencing, metagenome analysis of microbial populations still remains a challenge. In particular, the metagenome-assembled genomes (MAGs) are often fragmented due to interspecies repeats, uneven coverage, and varying strain abundance. MAGs are constructed via a binning process that uses features of input data in order to cluster long contigs presumably belonging to the same species. In this work, we present BinSPreader—a binning refiner tool that exploits the assembly graph topology and other connectivity information to refine binning, correct binning errors, and propagate binning to shorter contigs. We show that BinSPreader could increase the completeness of the bins without sacrificing the purity and could predict contigs belonging to several MAGs. BinSPreader is effective in binning shorter contigs that often contain important conservative sequences that might be of great interest to researchers.

AB - Despite the recent advances in high-throughput sequencing, metagenome analysis of microbial populations still remains a challenge. In particular, the metagenome-assembled genomes (MAGs) are often fragmented due to interspecies repeats, uneven coverage, and varying strain abundance. MAGs are constructed via a binning process that uses features of input data in order to cluster long contigs presumably belonging to the same species. In this work, we present BinSPreader—a binning refiner tool that exploits the assembly graph topology and other connectivity information to refine binning, correct binning errors, and propagate binning to shorter contigs. We show that BinSPreader could increase the completeness of the bins without sacrificing the purity and could predict contigs belonging to several MAGs. BinSPreader is effective in binning shorter contigs that often contain important conservative sequences that might be of great interest to researchers.

KW - Algorithms

KW - Bioinformatics

KW - Genomics

KW - Microbial genomics

UR - http://www.scopus.com/inward/record.url?scp=85135953628&partnerID=8YFLogxK

U2 - 10.1016/j.isci.2022.104770

DO - 10.1016/j.isci.2022.104770

M3 - Article

AN - SCOPUS:85135953628

VL - 25

JO - iScience

JF - iScience

SN - 2589-0042

IS - 8

M1 - 104770

ER -

ID: 100489538