phosphonormalizer

phosphonormalizer mitigates biases introduced by global centering-based normalization in label-free mass spectrometry-based phosphoproteomics by calculating correction factors from enriched and non-enriched phosphopeptide data to better reflect true biological variation.

Key Features:

• Bias Mitigation: Leverages data from enriched and non-enriched samples to calculate correction factors that reduce enrichment-induced overestimation of peptide abundances.
• Normalization Approach: Builds upon global centering-based normalization, which scales peptide abundances to achieve uniform median intensities across samples.
• Correction Factor Calculation: Uses quantified phosphopeptides from both enriched and non-enriched datasets to derive adjustments for normalization.
• Data Integration: Integrates enriched and non-enriched phosphopeptide measurements to more accurately represent underlying biological variation.
• Data Type Compatibility: Applied specifically to label-free mass spectrometry-based phosphoproteomics datasets.

Scientific Applications:

• Phosphorylation quantification: Improves accuracy of phosphopeptide abundance estimates in enriched phosphoproteomics experiments.
• Signaling pathway analysis: Enables more reliable detection of phosphorylation-driven changes relevant to cellular signaling.
• Biomarker and target discovery: Reduces normalization artifacts that can confound biomarker identification and therapeutic target characterization.

Methodology:

Calculates correction factors from quantified phosphopeptides in enriched and non-enriched datasets and applies these adjustments to global centering-based normalization, which scales peptide abundances to uniform median intensities.