PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

XML-Based Approaches for the Integration of Heterogeneous Bio-Molecular Data
Marco Mesiti, E. Jimenez-Ruiz, Ismael Sanz, R. Berlanga-Llavori, Paolo Perlasca, Giorgio Valentini and D. Manset
BMC Bioinformatics Volume 10, Number S12, S7, 2009.

Abstract

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:6304
Deposited By:Giorgio Valentini
Deposited On:08 March 2010