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Updated: Jul 25, 2025
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
Published on: January 16, 2019
tidytof: a user-friendly framework for scalable and reproducible high-dimensional cytometry data analysis
Timothy J Keyes1,2,3, Abhishek Koladiya3, Yu-Chen Lo3
1Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA 94305, USA.
Summary:
While many algorithms for analyzing high-dimensional cytometry data have now been developed, the software implementations of these algorithms remain highly customized-this means that exploring a dataset requires users to learn unique, often poorly interoperable package syntaxes for each step of data processing. To solve this problem, we developed {tidytof}, an open-source R package for analyzing high-dimensional cytometry data using the increasingly popular 'tidy data' interface.
Availability And Implementation:
{tidytof} is available at https://github.com/keyes-timothy/tidytof and is released under the MIT license. It is supported on Linux, MS Windows and MacOS. Additional documentation is available at the package website (https://keyes-timothy.github.io/tidytof/).
Supplementary Information:
Supplementary data are available at Bioinformatics Advances online.
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