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VIDHOP, viral host prediction with Deep Learning
Florian Mock, Adrian Viehweger, Emanuel Barth, Manja Marz
doi: https://doi.org/10.1101/575571
Florian Mock
1RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, 07743, Germany
Adrian Viehweger
1RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, 07743, Germany
Emanuel Barth
1RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, 07743, Germany
Manja Marz
1RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, Jena, 07743, Germany
2Leibnitz Institute for Age Research - Fritz Lipmann Institute (FLI), Jena, 07743, Germany
3German Center for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 07743, Germany
4European Virus Bioinformatics Center (EVBC), Jena, 07743, Germany
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Posted January 31, 2020.
VIDHOP, viral host prediction with Deep Learning
Florian Mock, Adrian Viehweger, Emanuel Barth, Manja Marz
bioRxiv 575571; doi: https://doi.org/10.1101/575571
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