Deepbgc: Difference between revisions
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Latest revision as of 20:11, 29 September 2020
Description
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.
Environment Modules
Run module spider deepbgc to find out what environment modules are available for this application.
System Variables
- HPC_DEEPBGC_DIR - installation directory
- HPC_DEEPBGC_BIN - executable directory
- DEEPBGC_DATA - data directory