FawMine

FawMine provides an integrated omics data warehouse for the fall armyworm, Spodoptera frugiperda, enabling management and analysis of genomic, transcriptomic, proteomic, and metabolomic datasets.

Key Features:

• Complex Data Integration: FawMine leverages the InterMine framework to integrate heterogeneous omics data sources into a cohesive database covering S. frugiperda datasets.
• Customizable Query Facility: Provides a fast, customizable query facility with a flexible query builder for precise data retrieval.
• Extensible Data Model: Implements a highly extensible data model to incorporate new data types as they become available.
• Analysis Tools: Includes genomic region search capabilities and a library of widgets for performing statistical analyses on genetic, transcriptomic, proteomic, and metabolomic data.
• Data Export Options: Supports exporting query and analysis results in multiple commonly used formats.
• Extensible Framework: Built on a fully extensible framework that allows developers to add new tools and functionalities.
• Web Services and Client Libraries: Provides web services with client libraries in five programming languages for programmatic access.

Scientific Applications:

• Integrated omics analysis: Facilitates combined analysis of genomic, transcriptomic, proteomic, and metabolomic data for S. frugiperda.
• Gene function studies: Supports investigation and annotation of gene function in Spodoptera frugiperda.
• Metabolic pathway analysis: Enables exploration and analysis of metabolic pathways relevant to S. frugiperda biology.
• Response to environment and interventions: Supports studies of organismal responses to environmental changes or experimental interventions.
• Pest management research: Provides data integration and analysis capabilities relevant to research aimed at managing this agricultural pest.

Methodology:

Implemented using the open-source InterMine framework with capabilities for integrating heterogeneous data sources; developed under the LGPL license.