Link-HD: a versatile framework to explore and integrate heterogeneous microbial communities
This document contains embargoed files until 2020-11-17T
Zingaretti, Laura M.
Morgavi, Diego P.
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 (CH4y) was individually measured. Our approach reproduces the significant link between rumen microbiota structure and CH4 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.
619 - Veterinària
Oxford University Press
Is part of
Zingaretti, Laura M, Gilles Renand, Diego P Morgavi, and Yuliaxis Ramayo-Caldas. 2019. "Link-HD: A Versatile Framework To Explore And Integrate Heterogeneous Microbial Communities". Bioinformatics. Oxford University Press (OUP). doi:10.1093/bioinformatics/btz862.
Grant agreement number
EC/H2020/665919/EU/Opening Sphere UAB-CEI to PostDoctoral Fellows/P-SPHERE
MINECO/ /SEV-2015-0533/ES/ /
Genètica i Millora Animal
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