3MCor: an integrative web server for metabolome–microbiome-metadata correlation analysis

Author:

Sun Tao1ORCID,Li Mengci12,Yu Xiangtian3,Liang Dandan1,Xie Guoxiang4,Sang Chao1,Jia Wei15,Chen Tianlu1ORCID

Affiliation:

1. Center for Translational Medicine and Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China

2. School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China

3. Clinical Research Center, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai 200233, China

4. Human Metabolomics Institute, Inc., Shenzhen, Guangdong 518109, China

5. Hong Kong Traditional Chinese Medicine Phenome Research Centre, School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China

Abstract

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.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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