Phenonaut

Phenonaut integrates multiomics datasets including high-content imaging, proteomics, and metabolomics to enable exploration of phenotypic spaces.

Key Features:

• Data Workflow Management: Provides migration, control, integration, and auditability for multiomics datasets across acquisition to analysis.
• Workflow Creation: Supports creation of workflows that are agnostic to data source and structure.
• Data-Centric Transforms and Measures: Enables comprehensive dataset description and application of generic or specialized transforms and measures.
• Python-based Implementation: Delivered as a Python package for programmatic construction and execution of analysis workflows.
• Modular Architecture and Interoperability: Employs a modular design that ensures compatibility with a wide range of omics datasets and promotes reproducibility.

Scientific Applications:

• Multiomics Integration: Facilitates combining high-content imaging, proteomics, and metabolomics data for integrated analyses.
• Phenotypic Space Exploration: Enables exploration of phenotypic spaces across diverse omics platforms.
• Holistic Molecular Characterization: Supports studies that require a comprehensive view of the molecular underpinnings of biological systems.

Methodology:

Uses a modular approach to data integration that allows construction and customization of workflows and ensures compatibility with a wide range of omics datasets to promote interoperability and reproducibility.