LFQ-Analyst

LFQ-Analyst performs statistical analysis and visualization of label-free quantitative (LFQ) proteomics datasets preprocessed with MaxQuant.

Key Features:

• Differential expression analysis: Performs statistical tests to identify proteins with significant abundance changes across biological conditions.
• Visualization capabilities: Produces publication-quality graphics and tables for label-free quantitative (LFQ) datasets.
• User-analytic features: Provides statistical and exploratory analyses for interpretation of protein expression patterns.
• Integration with MaxQuant: Accepts and uses MaxQuant-preprocessed output as input for downstream LFQ analysis.

Scientific Applications:

• Global protein quantification: Supports comprehensive, comparative quantification of proteins across samples and conditions.
• Relative LFQ using precursor signal intensities: Handles relative label-free quantification (LFQ) based on precursor signal intensities.
• Biomarker discovery: Facilitates identification of candidate protein biomarkers by differential abundance analysis.
• Post-translational modification studies: Assists exploration of protein-level changes relevant to post-translational modifications.

Methodology:

Accepts MaxQuant-preprocessed LFQ data and performs statistical differential expression analysis, generation of graphics and tables, and exploratory statistical analyses using the provided MaxQuant outputs.