Multi-omics infrastructure and data for R/Bioconductor

Multi-omics experiments are increasingly commonplace in biomedical research, and add layers of complexity to experimental design, data integration, and analysis. R and Bioconductor provide a generic framework for statistical analysis and visualization, as well as specialized data classes for a variety of high-throughput data types, but methods are lacking for integrative analysis of multi-omics experiments. This talk introduces the recent MultiAssayExperiment class and methods, with integrated datasets and analyses of The Cancer Genome Atlas. It also introduces curatedMetagenomicData, a curated resource of taxonomic, gene, and metabolic functional profiles for thousands of human microbiome samples.

At this first meeting of the NYC R/Bioconductor Meetup, we'll also discuss formats and topics for future meetings.