title: Biomedical data integration in computational drug design and bioinformatics.
abstract: In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.
authors.affiliation: Department of Information and Communication Technologies, Computer Science School, University of A Coruña, Spain.
authors.forename: Jose A
authors.initials: JA
authors.lastname: Seoane
authors.forename: Vanessa
authors.initials: V
authors.lastname: Aguiar-Pulido
authors.forename: Cristian R
authors.initials: CR
authors.lastname: Munteanu
authors.forename: Daniel
authors.initials: D
authors.lastname: Rivero
authors.forename: Juan R
authors.initials: JR
authors.lastname: Rabunal
authors.forename: Julian
authors.initials: J
authors.lastname: Dorado
authors.forename: Alejandro
authors.initials: A
authors.lastname: Pazos
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D017076:Computer-Aided Design; D016208:Databases, Factual; D015195:Drug Design; D006801:Humans; D020407:Internet