MAPPI-DAT

MAPPI-DAT manages and analyzes protein-protein interaction (PPI) data from high-throughput MAPPIT cell microarray experiments to provide structured storage, automated interpretation, and meta-analysis for proteome-scale interaction studies.

Key Features:

• Automated Data Management: Systematically stores experimental data and metadata in a structured MySQL database to enable efficient retrieval and organization.
• Data Analysis Automation: Automates analysis and interpretation with R integrated for data analysis alongside core functionality implemented in Python.
• Meta-analysis Capability: Supports meta-analysis across multiple stored experiments to identify interaction patterns that may not be evident in individual datasets.

Scientific Applications:

• Proteome-scale PPI mapping: Enables proteome-scale coverage of interaction networks using high-throughput MAPPIT cell microarray data.
• Cellular behavior and development studies: Facilitates comprehensive PPI studies to investigate cellular behavior and developmental responses under varied conditions.

Methodology:

Core implementation in Python with R integrated for data analysis and MySQL used for data storage.