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Datasets

AMR is a global problem. We therefore embrace the principles of open science and collaboration, and are proud to publish our data, so that scientists around the world can see, expand and build on our work.


Dataset – reComBat: batch-effect removal in large-scale multi-source gene-expression data integration

https://github.com/BorgwardtLab/reComBat
https://github.com/BorgwardtLab/batchCorrectionPublicData


Dataset – Antibiotic persistence of intracellular Brucella abortus

doi:10.1371/journal.pntd.0010635.s005
doi:10.5281/zenodo.7043646


Dataset – Combining CRISPRi and metabolomics for functional annotation of compound libraries

https://www.nature.com/articles/s41589-022-00970-3#Sec32


Dataset – CRISPRi-seq for genome-wide fitness quantification in bacteria

https://github.com/veeninglab/CRISPRi-seq
https://github.com/veeninglab/2FAST2Q/tree/V2.5.0
https://pypi.org/project/fast2q/
doi:10.5281/zenodo.7012813


Dataset – Dynamic persistence of intracellular bacterial communities of uropathogenic Escherichia coli in a human bladder-chip model of urinary tract infections

doi:10.5281/zenodo.5028262


Dataset – Early invasion of the bladder wall by solitary bacteria protects uropathogenic E. coli from antibiotics and neutrophil swarms in an organoid model

doi:10.5281/zenodo.4772819


Dataset – The antibiotic darobactin mimics a beta-strand to inhibit outer membrane insertase

doi:10.2210/pdb7nre/pdb
doi:10.2210/pdb7nrf/pdb
doi:10.2210/pdb7nri/pdb
EMD-12546
doi:10.6084/m9.figshare.12179784
https://github.com/hiller-lab/kaur-jakob-2021