Lactococcus garvieae a small bacteria and a big data world

Guillermo López-Campos, Mónica Aguado-Urda, María Mar Blanco, Alicia Gibello, María Teresa Cutuli, Victoria López-Alonso, Fernando Martín-Sánchez, José F Fernández-Garayzábal

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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.

Original languageEnglish
Article numberS5
JournalHealth information science and systems
Volume3
Issue numberSuppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con
Early online date24 Feb 2015
DOIs
Publication statusPublished - Dec 2015

Keywords

  • Journal Article

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