Proteomatic

Proteomatic integrates bioinformatics tools to analyze MS/MS proteomics data for protein identification, quantification, and post-translational modification analysis.

Key Features:

• Scripting Flexibility: Supports multiple scripting languages (Ruby, Python, PHP) for customization and extension of data analysis workflows.
• Automated Software Integration: Automatically downloads required external programs when free software options are selected.
• Modular Architecture: Implements a strict separation of functionality and presentation layers to permit addition of new processing steps without altering system architecture.

Scientific Applications:

• MS/MS Data Analysis: Processes tandem mass spectrometry (MS/MS) data in proteomics workflows.
• Protein Identification: Supports identification of proteins from MS/MS datasets.
• Protein Quantification: Supports quantification of proteins from MS/MS datasets.
• Post-Translational Modification Analysis: Supports analysis of post-translational modifications.
• Research Contexts: Applicable to both basic and applied proteomics research settings.

Methodology:

Integration of various bioinformatics tools into cohesive workflows, scripting capabilities, automated downloading of required external programs when free software options are selected, and a modular design with separation of functionality and presentation layers for processing large MS/MS datasets.