This package has many unique features:

The Overview of MicrobiomeAnalysis

✍️ Authors

⏬ Installation

Requiring the R-base version more than 4.1.0. Some of the dependencies from CRAN or bioconductor, but others, are only obtained from github. the version of dependencies are as follows:

dependencies in CRAN & Bioconductor

install.packages("pacman")

library(pacman)

pacman::p_load(phyloseq, dplyr, tibble, Biobase, ggplot2)

dependencies in github

# Step 1: Install devtools
if (!requireNamespace(c("remotes", "devtools"), quietly=TRUE)) {
  install.packages(c("devtools", "remotes"))
}
library(devtools)
#library(remotes)

# Step 2: install corncob package
devtools::install_github("bryandmartin/corncob")
# remotes::install_github("bryandmartin/corncob")

Installing MicrobiomeAnalysis

Get the released MicrobiomeAnalysis packages from here.

install.packages("MicrobiomeAnalysis*.tar.gz", repos = NULL, type = "source")

the development version from github:

remotes::install_github("HuaZou/MicrobiomeAnalysis")

📖 Vignette

Using the following command and Choosing the html for more details.

utils::browseVignettes(package="MicrobiomeAnalysis")

the tutorial of Microbiota Data Analysis by MicrobiomeAnalysis made by bookdown.

💖 Contributing

Welcome any contributions or comments, and you can file them here.

🏆 Acknowledgement

Thanks all the developers of the methods integrated into MicrobiomeAnalysis. The reference package is microbiomeMarker. The R codes of differential analysis methods are almost from microbiomeMarker.

✴️ Citation

Kindly cite by using citation("MicrobiomeAnalysis") if you think MicrobiomeAnalysis helps you. Alternative way is Zou H (2022). MicrobiomeAnalysis: An R package for analysis and visualization in metagenomics. R package version 1.0.3, <URL:https://github.com/HuaZou/MicrobiomeAnalysis/>.

MicrobiomeAnalysis: A comprehensive R package for managing and analyzing microbiome data