/AMRtime

Tool to predict the presence of antimicrobial resistance in clinical metagenomes

Primary LanguagePythonMIT LicenseMIT

AMRtime

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Metagenomic AMR gene detection using hierarchical machine learning models based on either AMR curated gene families or sequence identity based clusters.

  1. Initial read analysis using heuristically-accelerated homology searches (DIAMOND)
  2. Xgboost based classification of metagenomics reads to AMR gene families or sequence clusters
  3. Xgboost based classification of reads within family/clusters to specific genes
  4. Localised assembly of classified reads
  5. Attempted extension of family/cluster member-specific contigs

Installation --------

External dependencies:

  • DIAMOND
  • vsearch (cd-hit actually used)
  • art
  • scikit-learn
  • biopython
  • tqdm