Analysis and visualization of cellular energetics data from Agilent Seahorse XF96. Cellular energetics is how cells make, use, and distribute units of energy (primarily ATP). Measuring real-time cellular energetics is essential to understanding a tissue or cell’s bioenergetic state and fuel dependencies. The Seahorse machine measures a cell’s or matrix’s oxygen consumption rate (OCR) – a proxy of oxidative phosphorylation – and extracellular acidification rate – a proxy of glycolysis. This package offers flexible and fast analysis and plotting capabilities for such data using the methods described by Mookerjee et al. (2017) <doi:10.1074/jbc.m116.774471>.
Version: | 1.0.0 |
Imports: | data.table, ggplot2, readxl, stats |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-05-07 |
DOI: | 10.32614/CRAN.package.ceas |
Author: | Rachel House [aut, cre], James Eapen [aut], Hui Shen [fnd], Carrie Graveel [fnd], Matthew Steensma [fnd], Van Andel Institute [cph] |
Maintainer: | Rachel House <rachel.house at vai.org> |
BugReports: | https://github.com/jamespeapen/ceas/issues/ |
License: | MIT + file LICENSE |
URL: | https://jamespeapen.github.io/ceas/, https://github.com/jamespeapen/ceas/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ceas results |
Reference manual: | ceas.pdf |
Vignettes: |
ATP calculation Getting started with CEAS |
Package source: | ceas_1.0.0.tar.gz |
Windows binaries: | r-devel: ceas_1.0.0.zip, r-release: ceas_1.0.0.zip, r-oldrel: not available |
macOS binaries: | r-release (arm64): ceas_1.0.0.tgz, r-oldrel (arm64): ceas_1.0.0.tgz, r-release (x86_64): ceas_1.0.0.tgz, r-oldrel (x86_64): ceas_1.0.0.tgz |
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