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DeepBGC: Biosynthetic Gene Cluster detection and classification.

Install DeepBGC

  • Run pip install deepbgc to install the deepbgc python module.

Prerequisities

  • Install Python 3.6 (version 3.7 is not supported by TensorFlow yet)
  • Install Prodigal and put the prodigal binary it on your PATH: https://github.com/hyattpd/Prodigal/releases
  • Install HMMER and put the hmmscan and hmmpress binaries on your PATH: http://hmmer.org/download.html
  • Download and extract Pfam database from: ftp://ftp.ebi.ac.uk/pub/databases/Pfam/releases/Pfam31.0/Pfam-A.hmm.gz

Use DeepBGC

Detection

Detect BGCs in a genomic sequence.

# Show detection help
deepbgc detect --help

# Detect BGCs in a nucleotide sequence
deepbgc detect --model DeepBGCDetector_v0.0.1.pkl --pfam Pfam-A.hmm --output myCandidates/ myInputSequence.fa

# Detect BGCs with >0.9 score in existing Pfam CSV sequence
deepbgc detect --model myModel.pkl --output myStrictCandidates/ -s 0.9 myCandidates/myCandidates.pfam.csv

Classification

Classify BGCs into one or more classes.

# Show classification help
deepbgc classify --help

# Predict biosynthetic class of detected BGCs
deepbgc classify --model RandomForestMIBiGClasses_v0.0.1.pkl --output myCandidates/myCandidates.classes.csv myCandidates/myCandidates.candidates.csv

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