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MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms
BACKGROUND: Many methods have been developed for metagenomic sequence classification, and most of them depend heavily on genome sequences of the known organisms. A large portion of sequencing sequences may be classified as unknown, which greatly impairs our understanding of the whole sample. RESULT:...
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| Wydane w: | Biol Direct |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6104016/ https://ncbi.nlm.nih.gov/pubmed/30134953 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13062-018-0220-y |
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