title: XML-based approaches for the integration of heterogeneous bio-molecular data.
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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Università degli Studi di Milano, Via Comelico 39, Milan, Italy. mesiti@dico.unimi.it
authors.forename: Marco
authors.initials: M
authors.lastname: Mesiti
authors.forename: Ernesto
authors.initials: E
authors.lastname: Jiménez-Ruiz
authors.forename: Ismael
authors.initials: I
authors.lastname: Sanz
authors.forename: Rafael
authors.initials: R
authors.lastname: Berlanga-Llavori
authors.forename: Paolo
authors.initials: P
authors.lastname: Perlasca
authors.forename: Giorgio
authors.initials: G
authors.lastname: Valentini
authors.forename: David
authors.initials: D
authors.lastname: Manset
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D030541:Databases, Genetic; D023281:Genomics; D009154:Mutation; D011110:Polymorphism, Genetic; D011381:Programming Languages