guokai8 / tidymass

tidymass

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

About

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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

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The mass_dataset class and its property

Installation

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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?

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

shenxt1990

[e-mail]

Twitter

Citation

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If you use tidymass in your publications, please cite this paper:

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!