title: Lactococcus garvieae: a small bacteria and a big data world.
abstract: OBJECTIVE
  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.
authors.affiliation: Health and Biomedical Informatics Centre (HABIC), The University of Melbourne, Melbourne, Victoria, 3010, Australia.
authors.forename: Guillermo
authors.initials: G
authors.lastname: López-Campos
authors.affiliation: Faculty of Veterinary Sciences, Department of Animal Health, Complutense University, Madrid, 28040, Spain.
authors.forename: Mónica
authors.initials: M
authors.lastname: Aguado-Urda
authors.affiliation: Faculty of Veterinary Sciences, Department of Animal Health, Complutense University, Madrid, 28040, Spain.
authors.forename: María Mar
authors.initials: MM
authors.lastname: Blanco
authors.affiliation: Faculty of Veterinary Sciences, Department of Animal Health, Complutense University, Madrid, 28040, Spain.
authors.forename: Alicia
authors.initials: A
authors.lastname: Gibello
authors.affiliation: Faculty of Veterinary Sciences, Department of Animal Health, Complutense University, Madrid, 28040, Spain.
authors.forename: María Teresa
authors.initials: MT
authors.lastname: Cutuli
authors.affiliation: Computational Biology Unit, National Institute of Health "Carlos III", Madrid, 28220, Spain.
authors.forename: Victoria
authors.initials: V
authors.lastname: López-Alonso
authors.affiliation: Health and Biomedical Informatics Centre (HABIC), The University of Melbourne, Melbourne, Victoria, 3010, Australia.
authors.forename: Fernando
authors.initials: F
authors.lastname: Martín-Sánchez
authors.affiliation: Faculty of Veterinary Sciences, Department of Animal Health, Complutense University, Madrid, 28040, Spain.
authors.forename: José F
authors.initials: JF
authors.lastname: Fernández-Garayzábal
keywords: Big Data; Gene expression; Genomics; Lactococcus garvieae