ceas: Cellular Energetics Analysis Software (original) (raw)
Measuring cellular energetics is essential to understanding a matrix’s (e.g. cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization using the methods described by Mookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.
| Version: | 1.3.0 |
|---|---|
| Imports: | data.table, ggplot2, lme4, readxl, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-12-21 |
| DOI: | 10.32614/CRAN.package.ceas |
| Author: | Rachel House  [aut, cre], James P. Eapen [aut], Hui Shen [fnd], Carrie R. Graveel [fnd], Matthew R. Steensma [fnd], Van Andel Institute [cph] |
| Maintainer: | Rachel House <rachel.house at vai.org> |
| BugReports: | https://github.com/jamespeapen/ceas/issues/ |
| License: | MIT + file |
| URL: | https://jamespeapen.github.io/ceas/,https://github.com/jamespeapen/ceas/ |
| NeedsCompilation: | no |
| Citation: | ceas citation info |
| Materials: | README NEWS |
| CRAN checks: | ceas results |
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