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Springer (part of Springer Nature), Health Information Science and Systems, S1(3), 2015

DOI: 10.1186/2047-2501-3-s1-s5

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Lactococcus garvieae: a small bacteria and a big data world

Journal article published in 2015 by Guillermo López-Campos, Mónica Aguado-Urda, María Mar Blanco, Alicia Gibello, María Teresa Cutuli, Victoria López-Alonso, Fernando Martín-Sánchez, José F. Fernández-Garayzábal ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.