López-Campos G, Aguado-Urda M, Blanco MM, Gibello A, Cutuli MT, López-Alonso V, Martín-Sánchez F, Fernández-Garayzábal JF. Lactococcus garvieae: a small bacteria and a big data world.
Health Inf Sci Syst 2015;
3:S5. [PMID:
25960872 PMCID:
PMC4416232 DOI:
10.1186/2047-2501-3-s1-s5]
[Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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.
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