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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738585/ https://www.ncbi.nlm.nih.gov/pubmed/31509583 http://dx.doi.org/10.1371/journal.pone.0222271 |