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METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs
BACKGROUND: Due to the complexity of microbial communities, de novo assembly on next generation sequencing data is commonly unable to produce complete microbial genomes. Metagenome assembly binning becomes an essential step that could group the fragmented contigs into clusters to represent microbial...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8296540/ https://ncbi.nlm.nih.gov/pubmed/34294039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04284-4 |
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