title: Building a knowledge base for systems pathology.
abstract: Translating the exponentially growing amount of omics data into knowledge usable for a personalized medicine approach poses a formidable challenge. In this article-taking diabetes as a use case-we present strategies for developing data repositories into computer-accessible knowledge sources that can be used for a systemic view on the molecular causes of diseases, thus laying the foundation for systems pathology.
authors.affiliation: Department of Bioinformatics, Goldschmidtstr. 1, D-37077 Göttingen, Germany.
authors.forename: Holger
authors.initials: H
authors.lastname: Michael
authors.forename: Jennifer
authors.initials: J
authors.lastname: Hogan
authors.forename: Alexander
authors.initials: A
authors.lastname: Kel
authors.forename: Olga
authors.initials: O
authors.lastname: Kel-Margoulis
authors.forename: Frank
authors.initials: F
authors.lastname: Schacherer
authors.forename: Nico
authors.initials: N
authors.lastname: Voss
authors.forename: Edgar
authors.initials: E
authors.lastname: Wingender
mesh_terms: D003628:Database Management Systems; D016208:Databases, Factual; D003920:Diabetes Mellitus / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D053263:Gene Regulatory Networks; D006801:Humans; D016247:Information Storage and Retrieval; D007256:Information Systems; D051188:Knowledge Bases; D012660:Semantics; D015398:Signal Transduction / Q000502:physiology; D014584:User-Computer Interface