2026-06-14T05:06:19Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/47982025-04-25T11:29:12Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19617

00925njm 22002777a 4500 dc 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 author 2015-02-24 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. 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 Lactococcus garvieae Big Data Genomics Gene expression Lactococcus garvieae: a small bacteria and a big data world