MSnbase

MSnbase provides data structures and analysis functions for quantitative proteomics, focusing on isobaric tagging-based protein quantitation from mass spectrometry (MS) data.

Key Features:

• Exploratory Data Analysis Framework: Provides a framework for reproducible exploratory analysis of proteomics data.
• Data Import and Quality Control: Supports direct import of raw mass spectrometry (MS) data and includes tools for quality control.
• Visualization Tools: Includes visualization routines to explore and interpret proteomics datasets.
• Data Processing and Quantitation: Implements data processing workflows and protein quantitation using isobaric tags.
• Integration with Bioconductor: Integrates with Bioconductor statistical analysis facilities for downstream statistical evaluation.

Scientific Applications:

• Quantitative Proteomics with Isobaric Labeling: Enables protein quantitation and comparison of protein abundances across samples using isobaric tags.
• Exploratory and Statistical Analysis: Supports exploratory data analysis and complex statistical analyses of proteomics datasets within the R/Bioconductor ecosystem.

Methodology:

Implemented in R (version ≥ 2.13.0); performs raw mass spectrometry (MS) data import, quality control, visualization, processing, and protein quantitation using isobaric tags.