Organization and integration of biomedical knowledge with concept maps for key peroxisomal pathways.
BACKGROUND
One important area of clinical genomics research involves the elucidation of molecular mechanisms underlying (complex) disorders which eventually may lead to new diagnostic or drug targets. To further advance this area of clinical genomics one of the main challenges is the acquisition and integration of data, information and expert knowledge for specific biomedical domains and diseases. Currently the required information is not very well organized but scattered over biological and biomedical databases, basic text books, scientific literature and experts' minds and may be highly specific, heterogeneous, complex and voluminous.


RESULTS
We present a new framework to construct knowledge bases with concept maps for presentation of information and the web ontology language OWL for the representation of information. We demonstrate this framework through the construction of a peroxisomal knowledge base, which focuses on four key peroxisomal pathways and several related genetic disorders. All 155 concept maps in our knowledge base are linked to at least one other concept map, which allows the visualization of one big network of related pieces of information.


BACKGROUND
The peroxisome knowledge base is available from www.bioinformaticslaboratory.nl (Support-->Web applications).


BACKGROUND
Supplementary data is available from www.bioinformaticslaboratory.nl (Research-->Output--> Publications--> KB_SuppInfo)
Willemsen
A M
AM
Department of Clinical Chemistry and Pediatrics, Bioinformatics Laboratory, Academic Medical Center, University of Amsterdam, AZ Amsterdam, The Netherlands.
Jansen
G A
GA
Komen
J C
JC
van Hooff
S
S
Waterham
H R
HR
Brites
P M T
PM
Wanders
R J A
RJ
van Kampen
A H C
AH
D003628:Database Management Systems; D030562:Databases, Protein; D007722:Health Knowledge, Attitudes, Practice; D016247:Information Storage and Retrieval / Q000379:methods*; D020675:Peroxisomes / Q000378:metabolism*; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D018511:Systems Integration
D020543:Proteome