MicrobiomeAnalyst
MicrobiomeAnalyst performs statistical, functional, and meta-analysis of marker-gene and shotgun microbiome sequencing data to profile microbial communities and identify significant taxa and functions.
Key Features:
- Marker-gene Data Profiling (MDP): Preparation, processing, and normalization of marker-gene data with community profiling, identification of significant features, and correlation and classification analyses.
- Shotgun Data Profiling (SDP): Predictive functional profiling and in-depth functional analysis of shotgun sequencing data.
- Projection with Public Data (PPD): Comparison and projection of user datasets against public microbiome databases and known microbial signatures to support meta-analysis and contextual interpretation.
- Taxon Set Enrichment Analysis (TSEA): Enrichment analysis of taxonomic sets to identify significant taxa within datasets.
- Comprehensive Analysis Workflow: End-to-end workflow encompassing data preparation, community profiling, feature identification, correlation, classification, and functional profiling leading to result visualization.
Scientific Applications:
- Statistical analysis of microbial communities: Quantitative profiling and identification of significant taxa and features in marker-gene and shotgun datasets.
- Functional profiling: Prediction and analysis of microbial community functions from shotgun sequencing data.
- Meta-analysis and dataset comparison: Projection against public microbiome databases and microbial signatures to enable comparative and meta-analytical studies.
- Ecological and host-microbe interaction studies: Exploration of microbial community structure, function, and interactions across environments or host systems with implications for health and disease.
Methodology:
Data preparation, processing, normalization of marker-gene data, community profiling, identification of significant features, correlation and classification analyses, predictive functional profiling of shotgun sequencing data, projection against public microbiome databases or known microbial signatures, and taxon set enrichment analysis.
Topics
Details
- Tool Type:
- library, web application
- Programming Languages:
- R
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Chong J, Liu P, Zhou G, Xia J. Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data. Nature Protocols. 2020;15(3):799-821. doi:10.1038/s41596-019-0264-1. PMID:31942082.