Microbial Community Ecology Data Analysis

A series of data analysis approaches for microbiome data based on the R6 class. The classes are designed for data preprocessing, niche analysis, taxonomic abundance plot, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis, functional redundancy analysis, metabolites analysis, etc.


Reference manual

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install.packages("microeco")

2.4.0 by Chi Liu, 18 days ago


https://github.com/ChiLiubio/microeco


Browse source code at https://github.com/cran/microeco


Authors: Chi Liu [aut, cre] , Felipe R. P. Mansoldo [ctb] , Minjie Yao [ctb] , Xiangzhen Li [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports R6, stats, ape, vegan, rlang, data.table, magrittr, dplyr, tibble, scales, grid, RColorBrewer, reshape2, igraph, lifecycle, withr

Depends on ggplot2

Suggests GUniFrac, MASS, ggpubr, randomForest, ggdendro, ggrepel, agricolae, gridExtra, picante, pheatmap, mice, GGally


Imported by file2meco, meconetcomp, mecoturn.

Suggested by LorMe, SQMtools.


See at CRAN