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ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples
Despite its clinical importance, detection of highly divergent or yet unknown viruses is a major challenge. When human samples are sequenced, conventional alignments classify many assembled contigs as “unknown” since many of the sequences are not similar to known genomes. In this work, we developed...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6738585/ https://ncbi.nlm.nih.gov/pubmed/31509583 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0222271 |
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