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rMSI: an R package for MS imaging data handling and visualization.
Pere Ràfols1,2, Sònia Torres1,2, Noelia Ramírez1,2
1Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.
Bioinformatics (Oxford, England)
|April 4, 2017
Summary
rMSI is a new R package offering a user-friendly graphical interface for mass spectrometry imaging (MSI) data analysis. It efficiently manages and visualizes MSI data, providing a flexible, free, and open-source platform.
Area of Science:
- Computational biology
- Data science
- Analytical chemistry
Background:
- Existing R packages for mass spectrometry imaging (MSI) data analysis lack user-friendly graphical interfaces (GUIs).
- Efficient management and visualization of MSI data are crucial for advancing research.
Purpose of the Study:
- To introduce rMSI, an R package designed for accessible and efficient mass spectrometry imaging data analysis.
- To provide a graphical user interface (GUI) integrated within the R environment for MSI data management and exploration.
Main Methods:
- Developed rMSI, an R package with a custom data format for minimized memory footprint and fast spectral access.
- Integrated a GUI for intuitive data exploration and visualization within the R environment.
- Designed rMSI functions for seamless integration with other R packages, facilitating data sharing.
Main Results:
- rMSI enables efficient management of mass spectrometry imaging data.
- The integrated GUI simplifies data exploration and visualization for users.
- The package is designed for easy integration and data sharing within the R ecosystem.
Conclusions:
- rMSI offers a novel, flexible, free, and open-source platform for mass spectrometry imaging data analysis.
- The package addresses the need for user-friendly tools in MSI data processing.
- rMSI enhances the capabilities of the R environment for complex data analysis.