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DRBin:metagenomic binning based on deep representation learning

摘要Metagenomic binning is the process of sorting genome or contig sequences obtained by metagenomic sequencing of environmental DNA or genetically heterogeneous groups of organisms into cate-gories representing the individual species or genetically homogenous groups(e.g.,strains)from which they originated(Rasheed and Rangwala,2013).Conventionally,whole-genome sequencing of sin-gle species requires culture and isolation of microorganisms.Howev-er,the vast majority of microorganisms in the environment are unculturable by current methods.Metagenomic binning methods thus help researchers to obtain the whole genome sequences of these non-culturable microorganisms and to predict the gene func-tions of previously uncharacterized species(Hazards et al.,2019).

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作者 Gang Mao [1] Yulin Wu [1] Yang Zhang [2] Xuan Wang [1] Yan Zhu [1] Bo Liu [3] Yadong Wang [4] Junyi Li [1] 学术成果认领
作者单位 School of Computer Science and Technology,Harbin Institute of Technology(Shenzhen),Shenzhen,Guangdong 518055,China [1] College of Science,Harbin Institute of Technology(Shenzhen),Shenzhen,Guangdong 518055,China [2] Center for Bioinformatics,School of Computer Science and Technology,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China [3] School of Computer Science and Technology,Harbin Institute of Technology(Shenzhen),Shenzhen,Guangdong 518055,China;Center for Bioinformatics,School of Computer Science and Technology,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China [4]
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发布时间 2022-09-14(万方平台首次上网日期,不代表论文的发表时间)
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2022年49卷7期

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