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MIC: Analysis of Antimicrobial Minimum Inhibitory Concentration Data
Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data. Validate the results of an MIC experiment by comparing observed MIC values to a gold standard assay, in line with standards from the International Organization for Standardization (2021) <https://www.iso.org/standard/79377.html>. Perform MIC prediction from whole genome sequence data stored in the Pathosystems Resource Integration Center (2013) <doi:10.1093/nar/gkt1099> database or locally.
Getting started
Browse package contents
Package details |
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| Author | Alessandro Gerada [aut, cre, cph] (<https://orcid.org/0000-0002-6743-4271>) |
| Maintainer | Alessandro Gerada <alessandro.gerada@liverpool.ac.uk> |
| License | GPL (>= 3) |
| Version | 1.0.2 |
| URL | https://github.com/agerada/MIC |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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