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.">

MIC: Analysis of Antimicrobial Minimum Inhibitory Concentration Data (original) (raw)

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.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: AMR, glue, readr, dplyr, Rcpp, data.table, Biostrings, stringr, rlang, tidyr, future.apply, progressr, lemon, ggplot2, forcats, purrr, tibble
LinkingTo: Rcpp
Suggests: testthat (≥ 3.0.0), xgboost, flextable, caret, lifecycle, future
Published: 2025-06-05
DOI: 10.32614/CRAN.package.MIC
Author: Alessandro Gerada ORCID iD [aut, cre, cph]
Maintainer: Alessandro Gerada <alessandro.gerada at liverpool.ac.uk>
BugReports: https://github.com/agerada/MIC/issues
License: GPL (≥ 3)
URL: https://github.com/agerada/MIC
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: MIC results

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