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Research code for developing graph-based methods to predict bacterial phenotype from whole genome sequence data.

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bjeffrey92/unitig_AMR_prediction

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unitig_AMR_prediction

Research code for developing graph-based methods to predict bacterial phenotype from whole genome sequence data.

Inspired by the success of graph-based approaches to machine learning in other fields, the purpose of this project is to develop methods for inferring phenotype from a graph representation of the bacterial pangenome.

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Research code for developing graph-based methods to predict bacterial phenotype from whole genome sequence data.

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