Orchestrating Microbiome Analysis (OMA)

Orchestrating Microbiome Analysis (OMA) builds a community-developed open-source ecosystem for microbiome data science that supports standardized, reproducible data wrangling, joint analysis, and reporting of hierarchical, interlinked, and heterogeneous multi-table datasets.

Key Features:

• Multi-assay data integration: Leverages the Bioconductor statistical programming framework for integrated analysis of multi-modal microbiome data.
• Joint analysis of heterogeneous datasets: Supports analysis of hierarchical, interlinked, and heterogeneous multi-table datasets common in modern microbiome research.
• Standardized data wrangling: Provides standardized approaches for data preparation and manipulation.
• Reproducible reporting: Enables reproducible analysis workflows and reporting.
• Open data and methods: Includes open data resources and interoperable computational methods.
• Community resources: Maintains an active online community for prospective users and contributors.

Scientific Applications:

• Multi-modal microbiome analysis: Analyzes interlinked datasets encompassing versatile taxonomic and functional assays.
• Large-scale microbiome data science: Addresses increasingly large and heterogeneous multi-modal microbiome datasets.
• Modular workflow design: Supports construction of modular data science workflows through interoperable methods.

Methodology:

OMA is built on the Bioconductor framework for multi-assay data integration, specifically designed for joint analysis of hierarchical, interlinked, and heterogeneous multi-table datasets.