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CHEER: HierarCHical taxonomic classification for viral mEtagEnomic data via deep leaRning
The fast accumulation of viral metagenomic data has contributed significantly to new RNA virus discovery. However, the short read size, complex composition, and large data size can all make taxonomic analysis difficult. In particular, commonly used alignment-based methods are not ideal choices for d...
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| Publié dans: | Methods |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier Inc.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7255349/ https://ncbi.nlm.nih.gov/pubmed/32454212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ymeth.2020.05.018 |
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