ceas

Cellular Energetics Analysis Software

Description

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.

Pronunciation

‘ceas’ is pronounced like the word ‘seas’ (siːz, SEEZ).

Installation

CRAN

install.packages("ceas")

Github

You can install the development version from Github by cloning the repo and running

git clone https://github.com/jamespeapen/ceas/
R CMD INSTALL ceas

You can also use the R devtools package:

devtools::install_github("jamespeapen/ceas")

or pak:

pak::pkg_install("jamespeapen/ceas")

Usage

A user guide is available on the package website. Bug reports may be submitted through GitHub issues.

Contributing

Submit patches using GitHub pull requests or by sending a patch file to james.eapen@vai.org. We follow the tidyverse style guide using styler and lintr.