This project is funded by the UK National Institute for Health Research to set up a full-fledged Global Health Research Unit (GHRU) through a grant awarded to the cGPS (Centre for Genomic Pathogen Sur

NIAID Data Ecosystem40

We report the presence of resistant gene fosA7 or tet(A) in Salmonella enterica

抗菌素耐药性基因检测

抗菌药耐药性

We report the presence of resistant gene fosA7 or tet(A) in Salmonella enterica

NIAID Data Ecosystem10

DRAMMA: A multifaceted machine learning approach for novel antimicrobial resistance gene detection in metagenomic data (dataset 2 of 2)

抗菌素耐药性基因检测

宏基因组机器学习

Dataset for the support of a journal publication. Part 2/2 of a dataset used for running and training the ML model. Part 1 is available at 10.5281/zenodo.14513933 The code associated with this pub

Zenodo2025-01-01 更新00