title: An integrative approach for biological data mining and visualisation.
abstract: The emergence of systems biology necessitates development of platforms to organise and interpret plentitude of biological data. We present a system to integrate data across multiple bioinformatics databases and enable mining across various conceptual levels of biological information. The results are represented as complex networks. Context dependent mining of these networks is achieved by use of distances. Our approach is demonstrated with three applications: full metabolic network retrieval with network topology study, exploration of properties and relationships of a set of selected proteins, and combined visualisation and exploration of gene expression data with related pathways and ontologies.
authors.affiliation: VTT Technical Research Centre of Finland, PO Box 1500, Espoo, Finland. ext-gopal.peddinti@vtt.fi
authors.forename: Peddinti V
authors.initials: PV
authors.lastname: Gopalacharyulu
authors.forename: Erno
authors.initials: E
authors.lastname: Lindfors
authors.forename: Jarkko
authors.initials: J
authors.lastname: Miettinen
authors.forename: Catherine K
authors.initials: CK
authors.lastname: Bounsaythip
authors.forename: Matej
authors.initials: M
authors.lastname: Oresic
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D018511:Systems Integration; D014584:User-Computer Interface