Open Access
Open access
volume 97 issue 2

microeco: an R package for data mining in microbial community ecology

Publication typeJournal Article
Publication date2020-12-17
scimago Q1
wos Q2
SJR1.129
CiteScore7.4
Impact factor3.2
ISSN01686496, 15746941
Microbiology
Applied Microbiology and Biotechnology
Ecology
Abstract
ABSTRACT

A large amount of sequencing data is produced in microbial community ecology studies using the high-throughput sequencing technique, especially amplicon-sequencing-based community data. After conducting the initial bioinformatic analysis of amplicon sequencing data, performing the subsequent statistics and data mining based on the operational taxonomic unit and taxonomic assignment tables is still complicated and time-consuming. To address this problem, we present an integrated R package-‘microeco’ as an analysis pipeline for treating microbial community and environmental data. This package was developed based on the R6 class system and combines a series of commonly used and advanced approaches in microbial community ecology research. The package includes classes for data preprocessing, taxa abundance plotting, venn diagram, alpha diversity analysis, beta diversity analysis, differential abundance test and indicator taxon analysis, environmental data analysis, null model analysis, network analysis and functional analysis. Each class is designed to provide a set of approaches that can be easily accessible to users. Compared with other R packages in the microbial ecology field, the microeco package is fast, flexible and modularized to use and provides powerful and convenient tools for researchers. The microeco package can be installed from CRAN (The Comprehensive R Archive Network) or github (https://github.com/ChiLiubio/microeco).

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GOST |
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GOST Copy
Liu C. et al. microeco: an R package for data mining in microbial community ecology // FEMS Microbiology Ecology. 2020. Vol. 97. No. 2.
GOST all authors (up to 50) Copy
Liu C., Cui Y., Li X., Yao M. microeco: an R package for data mining in microbial community ecology // FEMS Microbiology Ecology. 2020. Vol. 97. No. 2.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/femsec/fiaa255
UR - https://doi.org/10.1093/femsec/fiaa255
TI - microeco: an R package for data mining in microbial community ecology
T2 - FEMS Microbiology Ecology
AU - Liu, Chi
AU - Cui, Yaoming
AU - Li, Xiangzhen
AU - Yao, Minjie
PY - 2020
DA - 2020/12/17
PB - Oxford University Press
IS - 2
VL - 97
PMID - 33332530
SN - 0168-6496
SN - 1574-6941
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Liu,
author = {Chi Liu and Yaoming Cui and Xiangzhen Li and Minjie Yao},
title = {microeco: an R package for data mining in microbial community ecology},
journal = {FEMS Microbiology Ecology},
year = {2020},
volume = {97},
publisher = {Oxford University Press},
month = {dec},
url = {https://doi.org/10.1093/femsec/fiaa255},
number = {2},
doi = {10.1093/femsec/fiaa255}
}