R/Bioconductor framework for microbiome data science
Our community is rethinking microbiome data science in R/Bioconductor. We develop methods, data resources, and educational material for microbiome research based on the latest multi-assay data structures, i.e. the SummarizedExperiment class and its derivatives. This facilitates systematic integration and analysis of heterogeneous data across different omics. Feedback and new contributions are very welcome.
Resources
