SpectroPipeR

SpectroPipeR streamlines post-Spectronaut DIA-MS data analysis through a standardized R pipeline that automates normalization, statistical analysis, and report generation.

Key Features:

• XIC Plot Generation: The package automates extraction ion chromatogram (XIC) plot generation as part of its analytical processes.
• ID Rate Summary: The package automates identification rate summary calculations.
• Normalization: The package performs automated normalization of DIA-MS data.
• Batch and Covariate Adjustment: The package automates batch effect correction and covariate adjustment.
• Relative Protein Quantification: The package automates relative protein quantification analysis.
• Multivariate Analysis: The package includes automated multivariate statistical analysis capabilities.
• Statistical Analysis: The package performs automated statistical analysis of proteomics data.
• Interactive HTML Report Generation: The package generates interactive HTML reports for electronic laboratory notebook (ELN) systems.

Scientific Applications:

• DIA-MS Proteomics Data Analysis: SpectroPipeR provides comprehensive downstream data analysis for data-independent acquisition mass spectrometry (DIA-MS) data processed by Spectronaut.
• Proteome Studies: The package addresses challenges in proteome studies arising from limited bioinformatics resources, rapid data generation, and variations in analytical methods.

Methodology:

SpectroPipeR was written in R and implements a standardized pipeline for Spectronaut DIA-MS data analysis. The package automates analytical processes including XIC plots, ID rate summary, normalization, batch and covariate adjustment, relative protein quantification, multivariate analysis, and statistical analysis.