O-miner

O-miner performs comprehensive computational analysis and annotation of genomics and transcriptomics high-throughput profiling data from raw image files to extract biologically relevant insights.

Key Features:

• End-to-End Analysis Workflow: Processing, normalization, statistical analysis, and functional annotation from raw input data for transcriptomic and genomic datasets.
• Integration Capabilities: Handles large, heterogeneous datasets and overlays genomic and transcriptomic data with other biological and clinical data.
• Analytical Suite: Provides tools for exploration and interpretation of complex datasets and for identification and prioritization of novel targets for further validation.
• Knowledge Extraction: Correlates genomic and transcriptomic profiles with clinical data to support hypothesis generation and elucidation of underlying biological processes.

Scientific Applications:

• Pathway and mechanism analysis: Building a comprehensive understanding of altered mechanisms and pathways within genomic and transcriptomic datasets.
• Target prioritization and validation: Prioritizing novel targets from high-throughput data for subsequent experimental validation.
• Multi-omics and clinical data integration: Integrating diverse biological and clinical datasets to investigate disease-relevant signatures and associations.
• Genomics and transcriptomics studies: Supporting a wide range of applications across genomics and transcriptomics research involving complex and heterogeneous datasets.

Methodology:

Processing of raw image files, normalization, statistical analysis, functional annotation, and integration with biological databases, including correlation of genomic and transcriptomic profiles with clinical data.