msInspect

msInspect provides a Java- and R-based toolkit for development of computational methods for mass spectrometry (MS)-based proteomics, including LC-MS signal processing, MS/MS result parsing, proteomics data modeling, and visualization to support peptide identification and quantification.

Key Features:

• Data processing and manipulation: Implements signal processing for liquid chromatography-mass spectrometry (LC-MS) data and tools for handling standard MS data files.
• Parsing of MS/MS search results: Provides functionality to parse tandem mass spectrometry (MS/MS) search results for interpretation and validation.
• Data structure modeling: Offers data models and structures for organizing and managing large-scale proteomics datasets.
• Visualization tools: Includes modules for generating charts and visual representations of proteomic data.
• Pre-built development modules: Supplies reusable modules to accelerate development of custom computational proteomics applications.

Scientific Applications:

• Peptide identification and quantification: Supports workflows for peptide identification and quantitative analysis of complex biological samples using LC-MS and MS/MS data.
• Manual curation of quantitative events (Qurate): Enables development of applications such as Qurate for manual curation of isotopically labeled peptide quantitative events.

Methodology:

Implemented in Java and R, msInspect provides modules for LC-MS signal processing, parsing MS/MS search results, proteomics data structure modeling, and data visualization.