Link-HD: a versatile framework to explore and integrate heterogeneous microbial communities

MOTIVATION: We present Link-HD, an approach to integrate multiple datasets. Link-HD is a generalization of ‘Structuration des Tableaux A Trois Indices de la Statistique–Analyse Conjointe de Tableaux’, a family of methods designed to integrate information from heterogeneous data. Here, we extend the classical approach to deal with broader datasets (e.g. compositional data), methods for variable selection and taxon-set enrichment analysis. RESULTS: The methodology is demonstrated by integrating rumen microbial communities from cows for which methane yield ([Formula: see text]) was individually measured. Our approach reproduces the significant link between rumen microbiota structure and CH(4) emission. When analyzing the TARA’s ocean data, Link-HD replicates published results, highlighting the relevance of temperature with members of phyla Proteobacteria on the structure and functionality of this ecosystem. AVAILABILITY AND IMPLEMENTATION: The source code, examples and a complete manual are freely available in GitHub https://github.com/lauzingaretti/LinkHD and in Bioconductor https://bioconductor.org/packages/release/bioc/html/LinkHD.html.