Case study of the intestinal microbiota using the XGN-MBI metagenomic assay

dc.centroFacultad de Medicinaen_US
dc.contributor.authorBurgos-Molina, Antonio Manuel
dc.contributor.authorMercado-Sáenz, Silvia
dc.contributor.authorGil-Carmona, Luisa
dc.contributor.authorMorales-Moreno, Francisco
dc.contributor.authorRuiz-Gómez, Miguel José
dc.date.accessioned2019-01-17T10:39:28Z
dc.date.available2019-01-17T10:39:28Z
dc.date.created2018
dc.date.issued2019-01-17
dc.departamentoEspecialidades Quirúrgicas, Bioquímica e Inmunología
dc.description.abstractThe microbiota of the colon and rectum is the most abundant and diverse of the human body, with a density of up to 1-2 kg of weight and a diversity that exceeds a thousand species. Metagenomics can be defined as the application of modern genomic techniques for the direct study of communities of microorganisms in their natural environment The aim of this study is to prove the usefulness of new technologies based on metagenomics, such as the XGN-MBI assay to realize gut microbiota studies.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.identifier.urihttps://hdl.handle.net/10630/17175
dc.language.isoengen_US
dc.relation.eventdate06-08/11/2018en_US
dc.relation.eventplaceValencia (España)en_US
dc.relation.eventtitle16th ASEICA International Congress 2018en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accessen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIntestinos - Microbiologíaen_US
dc.subject.otherMicrobiotaen_US
dc.subject.otherXGN-MBI metagenomic assayen_US
dc.titleCase study of the intestinal microbiota using the XGN-MBI metagenomic assayen_US
dc.typeconference outputen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationde49c054-e443-41f5-94e9-bd9c022959e9
relation.isAuthorOfPublication4e758ad1-1943-4e81-a3cb-efe226079e39
relation.isAuthorOfPublication52572afd-4d3c-4c34-82a7-3774888d42e1
relation.isAuthorOfPublication.latestForDiscoveryde49c054-e443-41f5-94e9-bd9c022959e9

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