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dc.contributor.authorLópez-Campos, Guillermo
dc.contributor.authorAguado-Urda, Mónica
dc.contributor.authorBlanco, María Mar
dc.contributor.authorGibello, Alicia
dc.contributor.authorCutuli, María Teresa
dc.contributor.authorLopez-Alonso, Victoria 
dc.contributor.authorMartin-Sanchez, Fernando 
dc.contributor.authorFernández-Garayzábal, José F
dc.date.accessioned2017-09-04T16:26:07Z
dc.date.available2017-09-04T16:26:07Z
dc.date.issued2015-02-24
dc.identifier.citationHealth Inf Sci Syst. 2015; 3(Suppl 1): S5
dc.identifier.urihttp://hdl.handle.net/20.500.12105/4798
dc.description.abstractOBJECTIVE: To describe the importance of bioinformatics tools to analyze the big data yielded from new "omics" generation-methods, with the aim of unraveling the biology of the pathogen bacteria Lactococcus garvieae. METHODS: The paper provides the vision of the large volume of data generated from genome sequences, gene expression profiles by microarrays and other experimental methods that require biomedical informatics methods for management and analysis. RESULTS: The use of biomedical informatics methods improves the analysis of big data in order to obtain a comprehensive characterization and understanding of the biology of pathogenic organisms, such as L. garvieae. CONCLUSIONS: The "Big Data" concepts of high volume, veracity and variety are nowadays part of the research in microbiology associated with the use of multiple methods in the "omic" era. The use of biomedical informatics methods is a requisite necessary to improve the analysis of these data.
dc.description.sponsorshipThis research was supported by grants AGL2009-12447 and AGL2012-35419 from the Spanish Ministry of Economy and Competiveness. The funders had no role in study design, data collection and analysis or preparation of the manuscript.
dc.language.isoeng
dc.publisherBioMed Central
dc.relation.isversionofPublisher's version
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectLactococcus garvieae
dc.subjectBig Data
dc.subjectGenomics
dc.subjectGene expression
dc.titleLactococcus garvieae: a small bacteria and a big data world
dc.typeArtículo
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID25960872
dc.format.volume3
dc.format.numberSuppl 1
dc.format.pageS5
dc.identifier.doi10.1186/2047-2501-3-S1-S5
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.description.peerreviewed
dc.identifier.e-issn2047-2501
dc.relation.publisherversionhttps://doi.org/10.1186/2047-2501-3-S1-S5
dc.identifier.journalHealth Information Science and Systems
dc.repisalud.centroISCIII::Unidad Funcional de Investigación de Enfermedades Crónicas (UFIEC)::Unidad de Biología Computacional
dc.repisalud.institucionISCIII
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Atribución 4.0 Internacional
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