MetPhenoR: A Transparent Analysis Pipeline for Mammalian Metabolic
Phenotype Microarray Data
Provides a transparent, end-to-end workflow for analyzing high-throughput
phenotype microarray data in mammalian cell cultures. It begins with automated
reading and noise correction, followed by comprehensive quality control via
visual diagnostics, i.e. detecting missing wells, anomalous curve shapes and
variance. Area under Curve is computed as a summary metric.
Biological annotations (custom or in-built for PM-M01,PM-M02, PM-M11 - PM-M14) enable group-level
comparisons.
| Version: |
1.3 |
| Depends: |
R (≥ 4.5.0) |
| Imports: |
readr, dplyr, magrittr, tidyselect, ggplot2, tidyr, stringr, purrr, tidyselect, scales, stats, patchwork, readr, ggforce, rlang |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-11-11 |
| DOI: |
10.32614/CRAN.package.MetPhenoR (may not be active yet) |
| Author: |
Katja Danielzik 
[aut, cre, cph],
Willson Tjioe
[aut],
Julia Asche [ctb],
Johann Matschke
[ctb],
Daniel Hoffmann
[ctb] |
| Maintainer: |
Katja Danielzik <katja.danielzik at uni-due.de> |
| BugReports: |
https://github.com/KatjaDanielzik/MetPhenoR/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/KatjaDanielzik/MetPhenoR |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
MetPhenoR results |
Documentation:
Downloads:
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