ceas: Cellular Energetics Analysis Software
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 + fileLICENSE |
| URL: | https://jamespeapen.github.io/ceas/,https://github.com/jamespeapen/ceas/ |
| NeedsCompilation: | no |
| Citation: | ceas citation info |
| Materials: | README,NEWS |
| CRAN checks: | ceas results |
Documentation:
| Reference manual: | ceas.html ,ceas.pdf |
| Vignettes: | ATP calculation (source,R code) Getting started with CEAS (source,R code) |
Downloads:
| Package source: | ceas_1.3.0.tar.gz |
| Windows binaries: | r-devel:ceas_1.3.0.zip, r-release:ceas_1.3.0.zip, r-oldrel:ceas_1.3.0.zip |
| macOS binaries: | r-release (arm64):ceas_1.3.0.tgz, r-oldrel (arm64):ceas_1.3.0.tgz, r-release (x86_64):ceas_1.3.0.tgz, r-oldrel (x86_64):ceas_1.3.0.tgz |
| Old sources: | ceas archive |
Linking:
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