Abstract
MicrobiomeAnalyst is an easy-to-use, web-based platform for comprehensive analysis of common data outputs generated from current microbiome studies. It enables researchers and clinicians with little or no bioinformatics training to explore a wide variety of well-established methods for microbiome data processing, statistical analysis, functional profiling and comparison with public datasets or known microbial signatures. MicrobiomeAnalyst currently contains four modules: Marker-gene Data Profiling (MDP), Shotgun Data Profiling (SDP), Projection with Public Data (PPD), and Taxon Set Enrichment Analysis (TSEA). This protocol will first introduce the MDP module by providing a step-wise description of how to prepare, process and normalize data; perform community profiling; identify important features; and conduct correlation and classification analysis. We will then demonstrate how to perform predictive functional profiling and introduce several unique features of the SDP module for functional analysis. The last two sections will describe the key steps involved in using the PPD and TSEA modules for meta-analysis and visual exploration of the results. In summary, MicrobiomeAnalyst offers a one-stop shop that enables microbiome researchers to thoroughly explore their preprocessed microbiome data via intuitive web interfaces. The complete protocol can be executed in ~70 min.
Keywords
MeSH Terms
Affiliated Institutions
Related Publications
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Abstract Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. ...
MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major u...
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understandi...
Overlapping Communities Explain Core–Periphery Organization of Networks
Networks provide a powerful way to study complex systems of interacting objects. Detecting network communities-groups of objects that often correspond to functional modules-is c...
Publication Info
- Year
- 2020
- Type
- article
- Volume
- 15
- Issue
- 3
- Pages
- 799-821
- Citations
- 1703
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1038/s41596-019-0264-1
- PMID
- 31942082