Published in: Analytical Chemistry February 3, 2021 [doi: 10.1021/acs.analchem.0c04565] https://doi.org/10.1021/acs.analchem.0c04565

LICAR

Functions and a Shiny app to correct class-based separation LC-MRM-MS lipidomics data for isotopic interferences. Online Shiny app available at https://slinghub.shinyapps.io/LICAR/.

Download the code

You can download the Github repository (https://github.com/SLINGhub/LICAR.git) and open the Rstudio project. Alternatively, you can clone this repository using git, e.g. in RStudio.

Prerequisites

Following packages must be installed in R to run the scripts

• enviPat
• stringr
• shiny

Run the Shiny App

Open the script app.R and click on the 'Run App' button. Alternatively, you can start the app via by typing shiny::runApp() in the console.

Manual

For details on the usage please refer to the LICAR manual

Report Bugs and Contribute

Submit a Github Issue or Pull request

November 2021 update

Several lipid classes and adducts added to the original.

Contact

• Gao Liang (gaoliang@nus.edu.sg)
• Amaury Cazenave Gassiot (bchacgt@nus.edu.sg)

Code of Conduct

Please note that the LICAR project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.