Publicado un nuevo artículo de divulgación en Health Information Science and System

24 de febrero de 2015

Lopez-Campos G., Aguado-Urda M., Blanco MM., Gibello A., Cutuli MT., Lopez-Alonso V., Martin-Sanchez F. y Fernandez-Garayzabal JF..

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

Lactococcus garvieae: a small bacteria and a big data world

Enlace relacionado: Lactococcus garvieae: a small bacteria and a big data world

	Health & Biomedical Informatics Research Unit. Medical School. University of Melbourne.
	Departamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).
	Servicio de Identificación y Caracterización Microbiana (ICM). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).
	Instituto de Salud Carlos III (ISCIII).