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Article

DeePaC: Predicting pathogenic potential of novel DNA with a universal framework for reverse-complement neural networks

2019-01-31

Abstract excerpt

<h4>Motivation:</h4> We expect novel pathogens to arise due to their fast-paced evolution, and new species to be discovered thanks to advances in DNA sequencing and metagenomics. What is more, recent developments in synthetic biology raise concerns that some strains of bacteria could be modified for malicious purposes. Traditional approaches to open-view pathogen detection depend on databases of known organisms,...

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Literature Corpus work
746d9cb8-9a57-5d24-9565-7f190f5c72fb
DOI
10.1101/535286
Open publication

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DeePaC: Predicting pathogenic potential of novel DNA with a universal framework for reverse-complement neural networksDOI 10.1101/535286
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