MASPECTRAS

MASPECTRAS integrates mass spectrometry (MS) protein identifications with bioinformatics databases to link MS-derived identifications to ontologies, functional domains, and literature for proteomics data interpretation.

Key Features:

• MS protein identification linking: Processes and links mass spectrometry (MS) protein identifications to external bioinformatics resources.
• Database integration: Connects identifications with ontologies, functional domains, and relevant literature from major bioinformatics databases.
• Sample comparisons: Performs sample comparisons to support differential analysis across experiments.
• Targeted queries: Supports targeted queries to interrogate specific proteins or sets of identifications.
• Summary generation: Produces summaries of analysis results for downstream interpretation.
• Data export (PRIDE XML): Exports data in PRIDE XML format to enable integration with other bioinformatics tools and databases.
• High-throughput adaptability: Adapts to high-throughput infrastructures for large-scale proteomics studies.

Scientific Applications:

• Tyrosine kinase inhibitor profiling: Analysis of tyrosine kinase inhibitor drug proteomics profiles in cancerous cells to investigate protein-level effects.
• Large-scale proteomics: Management and analysis of large-scale, high-throughput proteomics datasets.

Methodology:

Links MS-derived protein identifications with major bioinformatics databases (ontologies, functional domains, literature), and supports computational operations including sample comparisons, targeted queries, summary generation, and PRIDE XML export; designed to operate within high-throughput infrastructures.