Lactococcus garvieae a small bacteria and a big data world

Guillermo López-Campos; Mónica Aguado-Urda; María Mar Blanco; Alicia Gibello; María Teresa Cutuli; Victoria López-Alonso; Fernando Martín-Sánchez; José F Fernández-Garayzábal

doi:10.1186/2047-2501-3-S1-S5

Lactococcus garvieae a small bacteria and a big data world

Guillermo López-Campos, Mónica Aguado-Urda, María Mar Blanco, Alicia Gibello, María Teresa Cutuli, Victoria López-Alonso, Fernando Martín-Sánchez, José F Fernández-Garayzábal

School of Medicine, Dentistry and Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Article number	S5
Journal	Health information science and systems
Volume	3
Issue number	Suppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con
Early online date	24 Feb 2015
DOIs	https://doi.org/10.1186/2047-2501-3-S1-S5
Publication status	Published - Dec 2015

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Journal Article

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10.1186/2047-2501-3-S1-S5Licence: CC BY

Lactococcus garvieae: a small bacteria and a big data world
© Campos et al.; licensee BioMed Central Ltd. 2015. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 1.49 MBLicence: CC BY

Cite this

López-Campos, G., Aguado-Urda, M., Blanco, M. M., Gibello, A., Cutuli, M. T., López-Alonso, V., Martín-Sánchez, F., & Fernández-Garayzábal, J. F. (2015). Lactococcus garvieae a small bacteria and a big data world. Health information science and systems, 3(Suppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con), Article S5. https://doi.org/10.1186/2047-2501-3-S1-S5

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AU - López-Campos, Guillermo

AU - Aguado-Urda, Mónica

AU - Blanco, María Mar

AU - Gibello, Alicia

AU - Cutuli, María Teresa

AU - López-Alonso, Victoria

AU - Martín-Sánchez, Fernando

AU - Fernández-Garayzábal, José F

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N2 - 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.METHODSThe 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.CONCLUSIONSThe "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.

AB - 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.METHODSThe 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.CONCLUSIONSThe "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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Lactococcus garvieae a small bacteria and a big data world

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