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논문 기본 정보

자료유형
학술저널
저자정보
Yulin Kang (Peking University) Cheng Wan (Peking University) Sifen Lu (West China Hospital of Sichuan University) Zhehan Fu (Peking University) Antony K. Chen (Peking University) Zuhong Lu (Peking University)
저널정보
한국유전학회 Genes & Genomics Genes & Genomics Vol.42 No.8
발행연도
2020.1
수록면
883 - 892 (10page)

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Background The human gut microbiome contains millions of genes and many undetected bacteria species. Recovering bacterial genomes from large complex metagenomes remains highly challenging, and current binning methods show insufficient recall rates. Objective This study was performed to put forward a new metagenome binning method with promising recall rate and accuracy. Methods We found that more than 85% of the genes could be aligned to only one bacteria species by using strict BLAST parameters (identity > 90% and aligning length > 100 bp). This phenomenon was called “the gene uniqueness”, which indicated that the most bacterial genes could be exclusive to the species’ taxonomy. In our new metagenome binning method, we could cluster contigs based on gene similarity via a graph model. Any contig shared with same gene under Strict Blast parameters would be clustered into one bin. Results we obtained 1,131 bins and reconstructed the genomes of 12 unknown species for MetaHIT data Our method exhibited a more promising recall rate, faster running speed and lower time complexity than the current methods. Conclusions The present new metagenome binning method based on gene uniqueness had high recall rate and low error, which could be applied to assemble the bacterial genomes efficiently in complex metagenome.

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