代谢组
计算机科学
微生物群
相关性
元数据
鉴定(生物学)
Web服务器
数据挖掘
计算生物学
作者
Tao Sun,Mengci Li,Xiangtian Yu,Dandan Liang,Guoxiang Xie,Chao Sang,Wei Jia,Tianlu Chen
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2021-12-07
卷期号:38 (5): 1378-1384
标识
DOI:10.1093/bioinformatics/btab818
摘要
Abstract Motivation The metabolome and microbiome disorders are highly associated with human health, and there are great demands for dual-omics interaction analysis. Here, we designed and developed an integrative platform, 3MCor, for metabolome and microbiome correlation analysis under the instruction of phenotype and with the consideration of confounders. Results Many traditional and novel correlation analysis methods were integrated for intra- and inter-correlation analysis. Three inter-correlation pipelines are provided for global, hierarchical and pairwise analysis. The incorporated network analysis function is conducive to rapid identification of network clusters and key nodes from a complicated correlation network. Complete numerical results (csv files) and rich figures (pdf files) will be generated in minutes. To our knowledge, 3MCor is the first platform developed specifically for the correlation analysis of metabolome and microbiome. Its functions were compared with corresponding modules of existing omics data analysis platforms. A real-world dataset was used to demonstrate its simple and flexible operation, comprehensive outputs and distinctive contribution to dual-omics studies. Availabilityand implementation 3MCor is available at http://3mcor.cn and the backend R script is available at https://github.com/chentianlu/3MCorServer. Supplementary information Supplementary data are available at Bioinformatics online.
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