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dc.contributor.authorZingaretti, Laura M.
dc.contributor.authorRenand, Gilles
dc.contributor.authorMorgavi, Diego P.
dc.contributor.authorRamayo-Caldas, Yuliaxis
dc.contributor.otherProducció Animalca
dc.date.accessioned2020-03-11T16:29:11Z
dc.date.available2022-03-24T12:00:19Z
dc.date.issued2019-11-18
dc.identifier.citationZingaretti, 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.ca
dc.identifier.issn1367-4803ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/640
dc.description.abstractMotivation 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.ca
dc.format.extent2ca
dc.language.isoengca
dc.publisherOxford University Pressca
dc.relation.ispartofBioinformaticsca
dc.rightsAttribution-NonCommercial 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleLink-HD: a versatile framework to explore and integrate heterogeneous microbial communitiesca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.relation.projectIDEC/H2020/665919/EU/Opening Sphere UAB-CEI to PostDoctoral Fellows/P-SPHEREca
dc.relation.projectIDMINECO/Programa Estatal de fomento de la investigación científica y técnica de excelencia/SEV-2015-0533/ES/ /ca
dc.subject.udc619ca
dc.identifier.doihttps://doi.org/10.1093/bioinformatics/btz862ca
dc.contributor.groupGenètica i Millora Animalca


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Attribution-NonCommercial 4.0 International
Excepto si se señala otra cosa, la licencia del ítem se describe como http://creativecommons.org/licenses/by-nc/4.0/
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