MICO

MICO aggregates mutation-related predictions by querying multiple bioinformatics web servers to support interpretation of genomic variants from Next-Generation Sequencing (NGS) data.

Key Features:

• Automated querying: Programmatically queries multiple bioinformatics web servers that offer predictive capabilities for genomic mutations.
• Prediction aggregation: Collects and aggregates diverse mutational effect predictions for proteins from multiple online prediction tools to enable cross-tool comparison.
• Summary generation: Processes retrieved prediction outputs into a coherent summarized representation for downstream interpretation.

Scientific Applications:

• Mutation Impact Assessment: Evaluates potential effects of specific genomic mutations on protein structure and function using aggregated predictions.
• Comparative Analysis: Identifies consensus or discrepancies among different prediction tools for the same mutations to inform confidence in results.
• Functional Genomics Studies: Supports analyses aimed at understanding biological implications of genetic variation in NGS datasets.

Methodology:

Interfaces with multiple web servers offering predictive models, systematically queries those servers for mutation-related data, and processes the returned prediction data into a coherent summary.