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Predicting AMR de novo's Projects

amygda icon amygda

Automated Mycobacterial Growth Detection Algorithm, funded by NIHR Oxford Biomedical Research Centre

cryptic-ecoffs icon cryptic-ecoffs

Data and code to reproduce the figures and tables in the CRyPTIC ECOFF/ECV paper

molstar-mutation icon molstar-mutation

A comprehensive macromolecular library adapted for visualisation of protein mutations

pyniverse icon pyniverse

generic Python package for parsing, analysing and plotting Zooniverse data classification export files

sbmlcore icon sbmlcore

Collection of core classes and functions for structure-based machine learning to predict antimicrobial resistance

seqtreat icon seqtreat

Python code to validate the spreadsheets containing M. tuberculosis AST data donated to the project. Likely to expand in future.

tb-rbfe-setup icon tb-rbfe-setup

Files and scripts to rerun A90V DNAG and S450L RBFE calculations

tb-rnap-compensation icon tb-rnap-compensation

Investigation of the role of compensatory mutations in rifamycin resistance in M. tuberculosis

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