Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
BinSPreader : Refine binning results for fuller MAG reconstruction. / Tolstoganov, Ivan; Kamenev, Yuri; Kruglikov, Roman; Ochkalova, Sofia; Korobeynikov, Anton.
в: iScience, Том 25, № 8, 104770, 19.08.2022.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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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