MOVIS

MOVIS integrates multi-omics time-series data to identify temporal patterns and interactions across omic layers.

Key Features:

• Multi-Omics Integration: Integrates different omic data types while preserving each modality's temporal dynamics.
• Time-Series Analysis: Analyzes multi-modal time-series data to characterize temporal evolution of biological processes.
• Modular Design: Employs a modular architecture to support diverse analytical tasks and extensibility of methods.
• Reproducibility and Publication-Ready Outputs: Produces task-specific, reproducible visualizations suitable for publication.

Scientific Applications:

• Complex disease research: Enables investigation of temporal molecular changes and interactions relevant to complex diseases.
• Developmental biology: Supports exploration of temporal regulatory dynamics during development across multiple omic layers.
• Systems biology: Facilitates system-level analysis of interactions and regulatory mechanisms across omics over time.

Methodology:

Employs advanced computational techniques to integrate disparate omics data into a unified analytical framework using a modular approach for analysis of multi-modal time-series datasets, facilitating discovery of temporal patterns and anomalies.