The goal of MicroBioMeta is to support beginners in microbiome data analysis, whether working with metagenomic or metabarcoding datasets. It enables users with limited experience in R to explore, visualize, and analyze results with minimal coding and customization. This helps save time on scripting, while still producing statistically robust results and publication-ready figures in an intuitive and accessible way
👩💻 Contributors
- Stephanie Hereira - lead developer.
- Nina Montoya - co-developer and functions.
- Karla Zarco - co-developer and functions.
💻 Installation instructions
install.packages("devtools")
library(devtools)
install_github("Steph0522/MicroBioMeta")
library(MicroBioMeta)📗 Examples
For examples and uses go to the web page
🙌 Code of Conduct
Please note that the MicroBioMeta project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
🔨 Development tools
- Continuous code testing is possible thanks to GitHub actions through usethis, remotes, and rcmdcheck customized to use Bioconductor’s docker containers and BiocCheck.
- Code coverage assessment is possible thanks to codecov and covr.
- The documentation website is automatically updated thanks to pkgdown.
- The code is styled automatically thanks to styler.
- The documentation is formatted thanks to devtools and roxygen2.
For more details, check the dev directory.
This package was developed using
