Article

PaPrBaG: A random forest approach for the detection of novel pathogens from NGS data

2016-08-19

Abstract excerpt

The reliable detection of novel bacterial pathogens from next generation sequencing data is a key challenge for microbial diagnostics. Current computational tools usually rely on sequence similarity and often fail to detect novel species when closely related genomes are unavailable or missing from reference database used. Here, we present the random forest based approach PaPrBaG (Pathogenicity Prediction for Bacte...

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Literature Corpus work: 1f57f5c4-7bcb-5b4b-bda7-a5b540a79779
DOI: 10.7287/peerj.preprints.2379v1

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