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A deep learning genome-mining strategy for biosynthetic gene cluster prediction | BGC Detection and Classification Using Deep Learning | DeepBGC: Biosynthetic Gene Cluster detection and classification | DeepBGC detects BGCs in bacterial and fungal genomes using deep learning. DeepBGC employs a Bidirectional Long Short-Term Memory Recurrent Neural Network and a word2vec-like vector embedding of Pfam protein domains. Product class and activity of detected BGCs is predicted using a Random Forest classifier