mspire

mspire provides fast, memory-efficient parsing, conversion, and peptide false identification rate calculation for mass spectrometry-based proteomics data.

Key Features:

• Data Readers: Fast, memory-efficient readers for standard XML proteomics formats.
• File Conversion: Converters for intermediate spectral-identification file types, including Bioworks .srf.
• Peptide False Identification Rate Calculation: Modules to calculate peptide false identification rates.
• Performance Optimization: Prioritizes speed and memory efficiency for processing large proteomic datasets.

Scientific Applications:

• Mass spectrometry-based proteomics: Handling and analysis of large and complex MS proteomics datasets.
• Peptide identification quality control: Estimation of peptide false identification rates to improve identification reliability.
• Analysis of complex biological samples: Processing datasets where accurate peptide identification is critical.

Methodology:

Implemented in the Ruby programming language; provides fast, memory-efficient readers for standard XML proteomics formats, converters for intermediate spectral-identification file types including Bioworks .srf, and modules to calculate peptide false identification rates.