Motivation: An autoimmune disorder occurs when the immune system mistakenly attacks and destroys its own healthy body tissues. The initiation of a geoepidemiological database, for recording autoimmune incidents with a focus to clinical manifestations, demographic parameters and geographic background is crucial to detect correlations.
Results: The dAUTObase collects an ever increasing number of publications-currently counting 435-on autoimmune diseases' frequencies in various populations and ethnic groups. The respective data have been hosted by a web application developed for the task. It uses three data visualization tools: the PivotViewer, the Disease Treemap and the Disease World Map, to assist the effective data querying.
Availability And Implementation: The dAUTObase 2.0 version (www.biodata.gr/dautobase) needs no registration for querying, but data entry and modification is reserved for registered users (curators-administrators).
Contact: kpoulas@upatras.gr or tzimas@cti.gr.
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http://dx.doi.org/10.1093/bioinformatics/btu690 | DOI Listing |
Bioinformatics
February 2015
Department of Computer Engineering and Informatics, University of Patras, Rio Patras, 26500, Greece, Department of Pharmacy, University of Patras, Rio Patras 26500, Greece, Department of Computer and Informatics Engineering, Technological Educational Institute of Western Greece, M. Alexandrou 1, Koukouli Patras 26334, Greece.
Motivation: An autoimmune disorder occurs when the immune system mistakenly attacks and destroys its own healthy body tissues. The initiation of a geoepidemiological database, for recording autoimmune incidents with a focus to clinical manifestations, demographic parameters and geographic background is crucial to detect correlations.
Results: The dAUTObase collects an ever increasing number of publications-currently counting 435-on autoimmune diseases' frequencies in various populations and ethnic groups.
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