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

被引:1270
作者
Chong, Jasmine [1 ]
Liu, Peng [1 ]
Zhou, Guangyan [1 ]
Xia, Jianguo [1 ,2 ,3 ,4 ]
机构
[1] McGill Univ, Inst Parasitol, Ste Anne De Bellevue, PQ, Canada
[2] McGill Univ, Dept Anim Sci, Ste Anne De Bellevue, PQ, Canada
[3] Dept Microbiol & Immunol, Montreal, PQ, Canada
[4] Dept Human Genet, Montreal, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
RNA GENE DATABASE; WEB-BASED TOOL; COMMUNITIES;
D O I
10.1038/s41596-019-0264-1
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
This protocol details MicrobiomeAnalyst, a user-friendly, web-based platform for comprehensive statistical, functional, and meta-analysis of microbiome data. 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 similar to 70 min.
引用
收藏
页码:799 / 821
页数:23
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