MsQuality

MsQuality calculates 43 low-level quality metrics for mass spectrometry (MS) data based on the controlled mzQC vocabulary from the Human Proteome Organization - Proteomics Standards Initiative (HUPO-PSI) to assess and identify low-quality measurements in proteomics experiments.

Key Features:

• Metrics computed: Calculates 43 low-level quality metrics for MS data.
• Standardized vocabulary: Maps and reports metrics according to the controlled mzQC vocabulary from the Human Proteome Organization - Proteomics Standards Initiative (HUPO-PSI).
• Low-quality detection: Facilitates identification of low-quality measurements within single MS-based sample measurements.
• Workflow integration: Produces QC outputs intended for integration into data analysis workflows.
• Implementation: Implemented as an R package.
• Cross-dataset comparability: Enables consistency and comparability of QC metrics across datasets through mzQC adherence.

Scientific Applications:

• Proteomics quality control: Assess data quality in mass spectrometry-based proteomics experiments.
• Data filtering: Detect and flag low-quality MS measurements for downstream filtering and analysis.
• Standardized reporting: Generate mzQC-compliant QC reports to enable comparability across studies.
• Reproducibility monitoring: Integrate QC metrics into analytic workflows to monitor and improve reproducibility of MS data.

Methodology:

Calculates 43 low-level quality metrics from MS data according to the controlled mzQC vocabulary established by the Human Proteome Organization - Proteomics Standards Initiative (HUPO-PSI).