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Ceas: an R package for Seahorse data analysis and visualization.

ABSTRACT:

Summary

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.

Availability and implementation

ceas is available on CRAN (https://cran.r-project.org/package=ceas). Source code and installable tarballs are freely available for download at https://github.com/jamespeapen/ceas/releases/ under the MIT license. Package documentation may be found at https://jamespeapen.github.io/ceas/. ceas is implemented in R and is supported on macOS, Windows and Linux.

SUBMITTER: House RRJ

PROVIDER: S-EPMC11349193 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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ceas: an R package for Seahorse data analysis and visualization.

House Rachel Rae J RRJ Eapen James P JP Shen Hui H Graveel Carrie R CR Steensma Matthew R MR

Bioinformatics (Oxford, England) 20240801 8

<h4>Summary</h4>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.<h4>Availability and implementation</h4>cea ...[more]

PMID: 39133136

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