MetaProteomeAnalyzer

MetaProteomeAnalyzer performs identification and integration of taxonomic and functional meta-information from mass spectrometry-based metaproteomics datasets.

Key Features:

• Search engine and format support: Supports MGF input and results from X!Tandem, OMSSA, and Mascot for protein identification.
• Meta-protein grouping: Reduces data redundancy by grouping protein hits into meta-proteins.
• Graph database back-end: Uses a graph database back-end to enable complex queries and integrated data management.
• Taxonomic and functional integration: Integrates taxonomic and functional meta-information with protein identification results.
• Complex-community spectrum identification: Identifies mass spectra from samples containing hundreds of unknown species.

Scientific Applications:

• Biogas plant microbiomes: Applied to microbial community samples from biogas plants to analyze protein compositions.
• Metaproteomic ecosystem characterization: Characterizes protein compositions of diverse microbial ecosystems in metaproteomic studies.
• Combined taxonomic and functional profiling: Supports combined taxonomic and functional profiling in metaproteomic datasets.

Methodology:

Processes mass spectrometry data (MGF) with X!Tandem, OMSSA, and Mascot searches, groups protein hits into meta-proteins, integrates taxonomic and functional meta-information, and stores results in a graph database back-end.