ceas: Cellular Energetics Analysis Software

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 ORCID iD [aut, cre], James Eapen ORCID iD [aut], Hui Shen ORCID iD [fnd], Carrie Graveel ORCID iD [fnd], Matthew Steensma ORCID iD [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

Documentation:

Reference manual: ceas.pdf
Vignettes: ATP calculation
Getting started with CEAS

Downloads:

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): not available, 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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