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DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

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Figure

Fig. 1 Bit score vs. identity distribution, illustrating the relationshipbetween the UNIPROT genes against the CARD and ARDB genes interms of the percentage identity, bit score, and e-value
Fig. 2 Preprocessing and UNIPROT ARGs annotation. Antibiotic resistance genes from CARD, ARDB, and UNIPROT were merged and clustered toremove duplicates
Fig. 3 Validation of UNIPROT annotations. UNIPROT genes were aligned against the CARD and ARDB databases
Fig. 4 Classification framework. UNIPROT genes were used for validation and training whereas the CARD and ARDB databases were used as features
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