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Machine Learning for detection of viral sequences in human metagenomic datasets
BACKGROUND: Detection of highly divergent or yet unknown viruses from metagenomics sequencing datasets is a major bioinformatics challenge. When human samples are sequenced, a large proportion of assembled contigs are classified as “unknown”, as conventional methods find no similarity to known seque...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6154907/ https://ncbi.nlm.nih.gov/pubmed/30249176 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2340-x |
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