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AMR

Antimicrobial Resistance Data Analysis

Functions to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods, like those defined by Leclercq et al. (2013) <doi:10.1111/j.1469-0691.2011.03703.x> and containing reference data such as LPSN <doi:10.1099/ijsem.0.004332>.

Functions (53)

AMR

Antimicrobial Resistance Data Analysis

v1.6.0
GPL-2 | file LICENSE
Authors
Matthijs S. Berends [aut, cre] (<https://orcid.org/0000-0001-7620-1800>), Christian F. Luz [aut, ctb] (<https://orcid.org/0000-0001-5809-5995>), Alexander W. Friedrich [aut, ths] (<https://orcid.org/0000-0003-4881-038X>), Bhanu N. M. Sinha [aut, ths] (<https://orcid.org/0000-0003-1634-0010>), Casper J. Albers [aut, ths] (<https://orcid.org/0000-0002-9213-6743>), Corinna Glasner [aut, ths] (<https://orcid.org/0000-0003-1241-1328>), Judith M. Fonville [ctb], Erwin E. A. Hassing [ctb], Eric H. L. C. M. Hazenberg [ctb], Gwen Knight [ctb], Annick Lenglet [ctb], Bart C. Meijer [ctb], Sofia Ny [ctb], Rogier P. Schade [ctb], Dennis Souverein [ctb], Anthony Underwood [ctb]
Initial release
2021-03-14

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