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Tidymass: An Object-oriented Reproducible Analysis Framework for LC-MS Data


About


TidyMass project is a comprehensive computational framework that can process the whole workflow of data processing and analysis for LC-MS-based untargeted metabolomics.

TidyMass was designed based on the following strategies to address the limitations of current tools.

(1) Cross-platform utility

(2) Uniform, shareable, traceable, and reproducible


Analysis workflow of tidyMass



The mass_dataset class and its property

Installation


You can install tidymass from GitHub, GitLab or Gitee.

Option 1: GitHub

if(!require(remotes)){
install.packages("remotes")
}
remotes::install_github("tidymass/tidymass")

Option 2: GitLab

remotes::install_gitlab("jaspershen/tidymass")

Option 3: Gitee

remotes::install_git(url = "https://gitee.com/jaspershen/tidymass", dependencies = TRUE)

More information can be found here.

Need help?


If you have any questions about tidymass, please don’t hesitate to email me () or reach out me via the social medias below.

shenxt1990

Twitter

Citation


If you use tidymass in you publications, please cite this publication:

TidyMass: An Object-oriented Reproducible Analysis Framework for LC-MS Data.

Xiaotao Shen, Hong Yan, Chuchu Wang, Peng Gao, Caroline H. Johnson, Michael P. Snyder.

Web Link.

Thank you very much!