ceas：一个用于 Seahorse 数据分析和可视化的 R 包。
ceas: an R package for Seahorse data analysis and visualization.
机构信息
Department of Cell Biology, Van Andel Research Institute, Grand Rapids, MI 49503, United States.
Department of Metabolism and Nutritional Programming, Van Andel Research Institute, Grand Rapids, MI 49503, United States.
出版信息
Bioinformatics. 2024 Aug 2;40(8). doi: 10.1093/bioinformatics/btae503.
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.
摘要
测量细胞能量对于了解基质（例如细胞、组织或生物流体）的代谢状态至关重要。安捷伦 Seahorse 仪器是测量实时细胞能量的常用方法，但现有的分析工具要么非常手动，要么缺乏功能。细胞能量分析软件（ceas）R 包通过提供模块化和自动化的 Seahorse 数据分析和可视化功能填补了这一分析空白。
可用性和实现
ceas 可在 CRAN（https://cran.r-project.org/package=ceas）上获得。源代码和可安装的 tarballs 可在 MIT 许可证下在 https://github.com/jamespeapen/ceas/releases/ 处免费下载。包文档可在 https://jamespeapen.github.io/ceas/ 处找到。ceas 是用 R 编写的，支持 macOS、Windows 和 Linux。
Zotero 插件