PTXQC

PTXQC provides quality control and reporting for MaxQuant proteomics output by generating quantitative QC metrics, automated scoring, and visual summaries to assess data quality for downstream proteomics analyses.

Key Features:

• Automated QC Metrics: Generates a comprehensive set of QC metrics and applies automated scoring functions to assess and summarize proteomics data quality.
• Overview Heatmap: Produces an overview heatmap at the start of its report as a visual summary of QC metrics.
• Support for Experimental Designs: Accommodates stable isotope labeling by amino acids in cell culture (SILAC), tandem mass tags (TMT), and label-free quantification methods.
• Metrics for Match-between-runs (MBR): Computes metrics to evaluate MaxQuant's MBR functionality, including assessment based on retention time and mass-to-charge ratio (m/z).
• MaxQuant Input Support: Processes MaxQuant result tables directly to derive QC metrics and visualizations.

Scientific Applications:

• Proteomics QC/QA: Provides automated quality control and quality assurance for proteomics research using MaxQuant outputs.
• Downstream Analysis Validation: Ensures high-quality data are used for downstream proteomics analyses, enhancing reliability and reproducibility of results.
• Compatibility with Diverse Designs: Supports QC across diverse experimental designs including SILAC, TMT, and label-free studies.

Methodology:

Implemented in R, PTXQC processes MaxQuant result tables, computes quantitative QC metrics and automated scores, generates visual summaries such as overview heatmaps, and produces metrics evaluating MaxQuant's match-between-runs (MBR) based on retention time and m/z.