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XML-based approaches for the integration of heterogeneous bio-molecular data

Mesiti, M., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Sanz, I. , Berlanga-Llavori, R., Perlasca, P., Valentini, G. & Manset, D. (2009). XML-based approaches for the integration of heterogeneous bio-molecular data. BMC BIOINFORMATICS, 10, doi: 10.1186/1471-2105-10-S12-S7


Background:The today’s public database infrastructure spans a very large collection ofheterogeneous biological data, opening new opportunities for molecular biology, bio-medical andbioinformatics research, but raising also new problems for their integration and computationalprocessing.

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 relatedrecommendations and approaches. Moreover, we present new and interesting cutting edgeapproaches for the appropriate management of heterogeneous biological data represented throughXML.

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 largevariety of XML-based data formats have been proposed, thus resulting in a difficult effectiveintegration of bioinformatics data schemes. The adoption of a few semantic-rich standard formats isurgent to achieve a seamless integration of the current biological resources.

Publication Type: Article
Additional Information: ©2009 Mesiti et al; licensee BioMed Central Ltd.This is an open access article distributed under the terms of the Creative Commons Attribution License (,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Subjects: Q Science > QH Natural history > QH301 Biology
R Medicine > R Medicine (General)
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
Departments: School of Science & Technology > Computer Science
Text - Published Version
Available under License Creative Commons Attribution.

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