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ceas: Cellular Energetics Analysis Software
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>.
Getting started
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Package details |
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| Author | Rachel House [aut, cre] (<https://orcid.org/0000-0003-2176-0431>), James P. Eapen [aut] (<https://orcid.org/0000-0001-6016-3598>), Hui Shen [fnd] (<https://orcid.org/0000-0001-9767-4084>), Carrie R. Graveel [fnd] (<https://orcid.org/0000-0001-7251-5642>), Matthew R. Steensma [fnd] (<https://orcid.org/0000-0002-9003-6730>), Van Andel Institute [cph] |
| Maintainer | Rachel House <rachel.house@vai.org> |
| License | MIT + file LICENSE |
| Version | 1.3.0 |
| URL | https://jamespeapen.github.io/ceas/ https://github.com/jamespeapen/ceas/ |
| Package repository | View on CRAN |
| Installation |
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