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
mass_dataset class and its property
Option 1: GitHub
Option 2: GitLab
Option 3: Gitee
remotes::install_git(url = "https://gitee.com/jaspershen/tidymass", dependencies = TRUE)
More information can be found here.
If you have any questions about
tidymass, please don’t hesitate to email me (firstname.lastname@example.org) or reach out me via the social medias below.
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.
Thank you very much!