2026-06-14T03:31:28Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/47982025-04-25T11:29:12Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19617
Repisalud
author
Lopez-Campos, Guillermo
author
Aguado-Urda, Mónica
author
Blanco, María del Mar
author
Gibello, Alicia
author
Cutuli, María Teresa
author
López-Alonso, Victoria
author
Martin-Sanchez, Fernando
author
Fernández-Garayzábal, José F
funder
Ministerio de Economía y Competitividad (España)
2017-09-04T16:26:07Z
2017-09-04T16:26:07Z
2015-02-24
Health Inf Sci Syst. 2015; 3(Suppl 1): S5
10.1186/2047-2501-3-S1-S5
2047-2501
Health Information Science and Systems
25960872
http://hdl.handle.net/20.500.12105/4798
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.
eng
Lactococcus garvieae
Big Data
Genomics
Gene expression
Lactococcus garvieae: a small bacteria and a big data world
research article
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LactococusGarvieaeASmall_2015.pdf
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13755_2015_Article_29.pdf.txt
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LactococusGarvieaeASmall_2015.pdf.txt
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LactococusGarvieaeASmall_2015.pdf.txt