animalcules is an R package for utilizing up-to-date data analytics, visualization methods, and machine learning models to provide users an easy-to-use interactive microbiome analysis framework. It can be used as a standalone software package or users can explore their data with the accompanying interactive R Shiny application. Traditional microbiome analysis such as alpha/beta diversity and differential abundance analysis are enhanced, while new methods like biomarker identification are introduced by animalcules. Powerful interactive and dynamic figures generated by animalcules enable users to understand their data better and discover new insights.
Package details |
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Author | Yue Zhao [aut, cre] (<https://orcid.org/0000-0001-5257-5103>), Anthony Federico [aut] (<https://orcid.org/0000-0002-9200-1689>), W. Evan Johnson [aut] (<https://orcid.org/0000-0002-6247-6595>) |
Bioconductor views | Coverage Metagenomics Microbiome Visualization |
Maintainer | Yue Zhao <yuezh@bu.edu> |
License | Artistic-2.0 |
Version | 1.6.0 |
URL | https://github.com/compbiomed/animalcules |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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