mzQC

mzQC standardizes reporting and exchange of data quality information in mass spectrometry through open-source libraries in Python, R, and Java.

Key Features:

• Standard file format: mzQC provides a JSON-based format for reporting and exchanging mass spectrometry data quality information.
• Cross-platform libraries: Open-source libraries (pymzqc for Python, rmzqc for R, and jmzqc for Java) follow a common data model and provide shared functionalities.
• File processing capabilities: The libraries support (de)serialization and validation of mzQC files.
• Integration support: The libraries can be integrated with each other, with existing software tools, and in automated workflows for mass spectrometry quality control.

Scientific Applications:

• Quality control workflow implementation: The libraries enable extraction, analysis, and visualization of QC metrics from different sources in mass spectrometry workflows.
• Automated quality control: The libraries support automated workflows for quality control of mass spectrometry data.
• Interlaboratory variability assessment: mzQC facilitates addressing inter- and intralaboratory variability and bias affecting mass spectrometry data from factors including sample handling and preparation, instrument calibration and performance, and data acquisition and processing.

Methodology:

The mzQC format is based on JavaScript Object Notation (JSON). The libraries follow a common data model and provide shared functionalities including (de)serialization and validation of mzQC files.