Omics BioAnalytics

Omics BioAnalytics performs integrative analysis of omics datasets to enable exploratory data analysis, differential expression, and biomarker discovery from datasets with associated demographic variables.

Key Features:

• Multi-Level Characterization: Supports analysis from initial exploratory assessments through in-depth biomarker discovery and multi-level dataset characterization.
• R Shiny Implementation: Implemented using R Shiny for web-based data handling and visualization.
• Amazon Alexa Integration: Integrates with Amazon Alexa.
• Comprehensive Analyses: Performs descriptive analysis of demographic variables, exploratory data analysis, differential expression analysis, and biomarker discovery.
• Data Input Flexibility: Accepts provided sample datasets or user-uploaded omics data with associated demographic variables.

Scientific Applications:

• Biomarker and Biosignature Identification: Identifies biosignatures and discriminative biomarkers related to health and disease processes.
• Hypothesis Generation: Enables comprehensive dataset exploration to generate testable hypotheses about underlying molecular mechanisms.
• Basic and Translational Research Support: Supports investigations in basic biological research and translational medicine.

Methodology:

Performs descriptive analysis of demographic variables, exploratory data analysis, differential expression analysis, and biomarker discovery; implemented using R Shiny and integrated with Amazon Alexa.