Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data

By Jasmine Chong, Peng Liu, Guangyan Zhou, Jianguo Xia. Nature Protocols, 2020

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Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data (2022, background): “Although these steps are conceptually similar to the analysis of other omics data such as gene expression or microbiome data analysis 8,9 , the inherent characteristics of the data generated in LC – HRMS-based global metabolomics present unique challenges especially for those without statistical…”
MicrobiomeAnalyst 2.0: comprehensive statistical, functional and integrative analysis of microbiome data (2023, positive): “Since its release in 2017, Mi-crobiomeAnalyst has been continuously updated based on user feedback, with a detailed analysis protocol published in 2020 ( 12 ).”
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment (2021, background): “Consequently, the lessons learned enabled their integration into web portals, such as Microbiome Analyst 2 (Chong et al., 2020) for a comprehensive statistical, visual and meta-analysis of microbiome data.”