Lactococcus garvieae: a small bacteria and a big data world

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 genera...

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Detalhes bibliográficos
Autores: Lopez-Campos, Guillermo, Aguado-Urda, Mónica, Blanco, María del Mar, Gibello, Alicia, Cutuli, María Teresa, López-Alonso, Victoria, Martin-Sanchez, Fernando, Fernández-Garayzábal, José F
Formato: artículo
Fecha de publicación:2015
País:España
Recursos:Instituto de Salud Carlos III (ISCIII)
Repositorio:Repisalud
Idioma:inglés
OAI Identifier:oai:repisalud.isciii.es:20.500.12105/4798
Acesso em linha:http://hdl.handle.net/20.500.12105/4798
Access Level:acceso abierto
Palavra-chave:Lactococcus garvieae
Big Data
Genomics
Gene expression
Descrição
Resumo: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.