Building a knowledge base for systems pathology.
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.
Michael
Holger
H
Department of Bioinformatics, Goldschmidtstr. 1, D-37077 Göttingen, Germany.
Hogan
Jennifer
J
Kel
Alexander
A
Kel-Margoulis
Olga
O
Schacherer
Frank
F
Voss
Nico
N
Wingender
Edgar
E
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