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The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes
Tools allowing for the identification of viral sequences in host-associated and environmental metagenomes allows for a better understanding of the genetics and ecology of viruses and their hosts. Recently, new approaches using machine learning methods to distinguish viral from bacterial signal using...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477088/ https://www.ncbi.nlm.nih.gov/pubmed/31057513 http://dx.doi.org/10.3389/fmicb.2019.00806 |