BioinformaticsbioRxivPreprint
Increasing the predictive accuracy of the Resistance Gene Identifier by evaluating antimicrobial resistance gene over- and underprediction
Karyn M Mukiri, Brian P. Alcock, Amogelang R. Raphenya, Andrew G. McArthur
This study evaluates the accuracy of antimicrobial resistance gene prediction by analyzing bit-score cutoff values in CARD models and identifies sources of over- and underprediction in the RGI tool.