OMeta

OMeta manages and standardizes metadata for omics studies to enable integration and analysis of genomics, metagenomics, transcriptomics, proteomics, and metabolomics data from microbial species, metagenomes, and infectious disease pathogens for applications such as genotype-phenotype association and phylogenetic analyses.

Key Features:

• Data-driven metadata management: Configures, collects, validates, distributes, and integrates metadata across projects and samples.
• Assay and sequencing support: Supports assay technologies and sequencing technologies including genomics, metagenomics, transcriptomics, proteomics, and metabolomics.
• Event-based configuration: Captures and manages metadata tied to events such as sample collection, quantification, sequencing assays, and analysis results.
• Customizable metadata standards: Enables project- and sample-level metadata to be defined according to existing standards or customized for specific study requirements, including protocols and experimental technologies.
• Ontology integration (NCBO): Integrates with the National Center for Biomedical Ontology (NCBO) to configure fields using biomedical ontologies for consistent term usage and interoperability.
• Audit trail and export options: Maintains a complete audit trail of metadata changes and supports export in CSV format for deposition into public databases.

Scientific Applications:

• Multi-omics investigations: Enables multi-omics investigations across microbial species, metagenomes, and infectious disease pathogens.
• Genotype-phenotype association: Facilitates discovery of genotype-phenotype associations and identification of genetic determinants of pathogen virulence and drug resistance.
• Phylogenetic analyses and outbreak tracing: Supports phylogenetic analyses to trace the origins and spread of disease outbreaks.
• Public data deposition: Supports metadata export for deposition into public databases to improve data sharing and reuse.

Methodology:

Configures, collects, validates, distributes, and integrates metadata using a data-driven framework; captures event-based metadata for sample collection, quantification, sequencing assays, and analysis results; performs ontology lookup via NCBO; records audit logs and exports metadata in CSV format.