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XML-based approaches for the integration of heterogeneous bio-molecular data
BACKGROUND: The today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising also new problems for their integration and computational processing. RESU...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762072/ https://www.ncbi.nlm.nih.gov/pubmed/19828083 http://dx.doi.org/10.1186/1471-2105-10-S12-S7 |
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author | Mesiti, Marco Jiménez-Ruiz, Ernesto Sanz, Ismael Berlanga-Llavori, Rafael Perlasca, Paolo Valentini, Giorgio Manset, David |
author_facet | Mesiti, Marco Jiménez-Ruiz, Ernesto Sanz, Ismael Berlanga-Llavori, Rafael Perlasca, Paolo Valentini, Giorgio Manset, David |
author_sort | Mesiti, Marco |
collection | PubMed |
description | BACKGROUND: The today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising also new problems for their integration and computational processing. RESULTS: In this paper we survey the most interesting and novel approaches for the representation, integration and management of different kinds of biological data by exploiting XML and the related recommendations and approaches. Moreover, we present new and interesting cutting edge approaches for the appropriate management of heterogeneous biological data represented through XML. CONCLUSION: XML has succeeded in the integration of heterogeneous biomolecular information, and has established itself as the syntactic glue for biological data sources. Nevertheless, a large variety of XML-based data formats have been proposed, thus resulting in a difficult effective integration of bioinformatics data schemes. The adoption of a few semantic-rich standard formats is urgent to achieve a seamless integration of the current biological resources. |
format | Text |
id | pubmed-2762072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27620722009-10-15 XML-based approaches for the integration of heterogeneous bio-molecular data Mesiti, Marco Jiménez-Ruiz, Ernesto Sanz, Ismael Berlanga-Llavori, Rafael Perlasca, Paolo Valentini, Giorgio Manset, David BMC Bioinformatics Research BACKGROUND: The today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising also new problems for their integration and computational processing. RESULTS: In this paper we survey the most interesting and novel approaches for the representation, integration and management of different kinds of biological data by exploiting XML and the related recommendations and approaches. Moreover, we present new and interesting cutting edge approaches for the appropriate management of heterogeneous biological data represented through XML. CONCLUSION: XML has succeeded in the integration of heterogeneous biomolecular information, and has established itself as the syntactic glue for biological data sources. Nevertheless, a large variety of XML-based data formats have been proposed, thus resulting in a difficult effective integration of bioinformatics data schemes. The adoption of a few semantic-rich standard formats is urgent to achieve a seamless integration of the current biological resources. BioMed Central 2009-10-15 /pmc/articles/PMC2762072/ /pubmed/19828083 http://dx.doi.org/10.1186/1471-2105-10-S12-S7 Text en Copyright © 2009 Mesiti et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Mesiti, Marco Jiménez-Ruiz, Ernesto Sanz, Ismael Berlanga-Llavori, Rafael Perlasca, Paolo Valentini, Giorgio Manset, David XML-based approaches for the integration of heterogeneous bio-molecular data |
title | XML-based approaches for the integration of heterogeneous bio-molecular data |
title_full | XML-based approaches for the integration of heterogeneous bio-molecular data |
title_fullStr | XML-based approaches for the integration of heterogeneous bio-molecular data |
title_full_unstemmed | XML-based approaches for the integration of heterogeneous bio-molecular data |
title_short | XML-based approaches for the integration of heterogeneous bio-molecular data |
title_sort | xml-based approaches for the integration of heterogeneous bio-molecular data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762072/ https://www.ncbi.nlm.nih.gov/pubmed/19828083 http://dx.doi.org/10.1186/1471-2105-10-S12-S7 |
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