Cellular Energetics Analysis Software R package ceas version 1.3.0 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>. Software Imports: data.table, ggplot2, lme4, readxl, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Rachel House <rachel.house@vai.org> Comprehensive R Archive Network (CRAN) Rachel House [aut, cre] (ORCID: <https://orcid.org/0000-0003-2176-0431>), James P. Eapen [aut] (ORCID: <https://orcid.org/0000-0001-6016-3598>), Hui Shen [fnd] (ORCID: <https://orcid.org/0000-0001-9767-4084>), Carrie R. Graveel [fnd] (ORCID: <https://orcid.org/0000-0001-7251-5642>), Matthew R. Steensma [fnd] (ORCID: <https://orcid.org/0000-0002-9003-6730>), Van Andel Institute [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=ceas/LICENSE) 2024-12-21 application/tgz https://CRAN.R-project.org/package=ceas doi:10.32614/CRAN.package.ceas