ceas
1.3.0Cellular Energetics Analysis Software
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE r-devel-windows-x86_64
- NOTE r-oldrel-macos-arm64
- NOTE r-oldrel-macos-x86_64
- NOTE r-oldrel-windows-x86_64
- NOTE r-patched-linux-x86_64
- NOTE r-release-linux-x86_64
- NOTE r-release-macos-arm64
- NOTE r-release-macos-x86_64
- NOTE r-release-windows-x86_64
- NOTE2026-04-250 OK · 12 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-102 OK · 11 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 7%
Downloads
Repository
Stars over time
Releases over time
Issues over time
PRs over time
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/jamespeapen/ceas on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.3.0Latest
- 1.0.02024-05-07
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-05-07
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 2.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ceas")The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.