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

Profiling (computer programming)Computer scienceMicrobiomeProtocol (science)Data miningData scienceMetagenomicsComputational biologyWeb applicationHuman Microbiome ProjectBioinformaticsHuman microbiomeWorld Wide WebBiologyMedicine

MeSH Terms

DNABacterialDatabasesGeneticMeta-Analysis as TopicMetagenomicsMicrobiotaModelsStatisticalRNABacterialSoftware

Affiliated Institutions

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Publication Info

Year
2020
Type
article
Volume
15
Issue
3
Pages
799-821
Citations
1703
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1703
OpenAlex
116
Influential

Cite This

Jasmine Chong, Peng Liu, Guangyan Zhou et al. (2020). Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data. Nature Protocols , 15 (3) , 799-821. https://doi.org/10.1038/s41596-019-0264-1

Identifiers

DOI
10.1038/s41596-019-0264-1
PMID
31942082

Data Quality

Data completeness: 86%