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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
Outreach
Publications, slides, presentations, posters, and other material