rMSI

rMSI provides functions to handle, analyze, and visualize mass spectrometry imaging (MSI) data in R to enable spatial molecular analyses for proteomics, metabolomics, and pharmaceutical sciences.

Key Features:

• MSI data handling and analysis: Functions for manipulation, statistical analysis, and visualization of MSI datasets within the R environment.
• Custom data format: A memory-efficient data storage format optimized to minimize memory usage while ensuring rapid access to spectral data.
• Integration with R: A comprehensive library of R functions that interoperates with R's statistical and graphical capabilities.
• Scalability: Optimizations targeted at efficient processing of large-scale MSI datasets.

Scientific Applications:

• Proteomics: Spatial analysis of proteins and peptides across biological samples using MSI data.
• Metabolomics: Spatial mapping and analysis of metabolites and small molecules in tissues.
• Pharmaceutical sciences: Analysis of spatial molecular distribution patterns relevant to pharmaceutical research and investigation.

Methodology:

MSI data are loaded into the package's custom data format to balance memory efficiency and rapid spectral access, and analyses and visualizations are performed via the package's R functions.