Original paper
Identifying viruses from metagenomic data using deep learning
Abstract
The recent development of metagenomic sequencing makes it possible to massively sequence microbial genomes including viral genomes without the need for laboratory culture. Existing reference-based and gene homology-based methods are not efficient in identifying unknown viruses or short viral sequences from metagenomic data.Here we developed a reference-free and alignment-free machine learning method, DeepVirFinder, for identifying viral...
Paper Details
Title
Identifying viruses from metagenomic data using deep learning
Published Date
Mar 1, 2020
Journal
Volume
8
Issue
1
Pages
64 - 77
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Notes
History