IQuant

IQuant processes MS/MS data from isobaric tag–labeled peptides to identify and quantify proteins for quantitative proteomics studies.

Key Features:

• Automated Workflow: Automates processing of isobaric tag–based quantitative proteomics datasets from MS/MS acquisitions to quantitative outputs.
• Integration with Statistical Algorithms: Applies advanced statistical algorithms to process MS/MS signals derived from peptides labeled with isobaric tags for precise quantification.
• Protein Identification Post-Processing: Provides dedicated post-processing for protein identification to enhance the reliability and accuracy of proteomic interpretations.

Scientific Applications:

• Isobaric tag–based quantitative proteomics: Quantifies protein expression across biological samples using MS/MS data from isobaric labeling experiments.
• Comparative proteomics across conditions: Enables high-throughput analysis of protein abundance differences between experimental samples or conditions.
• Protein dynamics and post-translational modification studies: Supports investigations into protein dynamics, post-translational modifications, and cellular responses based on quantitative proteomic data.

Methodology:

Computational steps explicitly include processing MS/MS signals from peptides labeled with isobaric tags, deconvolution and quantification of those signals, and integration of post-processing tools for protein identification.