pymzML

pymzML provides programmatic access to mzML mass spectrometry data and tools for spectral processing and analysis.

Key Features:

• Fast mzML parsing: Efficient parser for mzML files with processing speeds comparable to established C programs.
• Spectral processing functions: Functions to compare and manipulate spectra for detailed mass spectrometry analysis.
• Optimized for large datasets (v2.0): Integrates faster numerical libraries, improved data-retrieval algorithms, and enhanced source code efficiency.
• Random-access compression for mzML: Compression scheme that enables rapid random access to compressed mzML files.
• Python and numerical support: Supports Python 3.4+ and can optionally integrate with numpy to improve numerical performance.

Scientific Applications:

• Proteomics: Processing and analysis of mass spectrometry datasets used in proteomics studies.
• Metabolomics: Analysis of metabolomics mass spectrometry datasets.
• Other mass spectrometry applications: Workflows requiring large-scale spectral processing and rapid random access to mzML files.

Methodology:

Parsing mzML files with an optimized fast parser; providing spectral comparison and manipulation functions; using faster numerical libraries and improved data-retrieval algorithms; and employing a compression scheme that enables rapid random access to compressed mzML files.