Creating views on integrated multidomain data

Motivation: Modern data acquisition methods in biology allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data are usually gathered and interpreted by separate domain scientists, it is hard to grasp multidomain propert...

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Veröffentlicht in:Bioinformatics 2011-07, Vol.27 (13), p.1839-1845
Hauptverfasser: Rohn, Hendrik, Klukas, Christian, Schreiber, Falk
Format: Artikel
Sprache:eng
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Zusammenfassung:Motivation: Modern data acquisition methods in biology allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data are usually gathered and interpreted by separate domain scientists, it is hard to grasp multidomain properties and structures. Consequently, there is a need for the integration of biological data from different sources and of different types in one application, providing various visualization approaches. Results: In this article, methods for the integration and visualization of multimodal biological data are presented. This is achieved based on two graphs representing the meta-relations between biological data and the measurement combinations, respectively. Both graphs are linked and serve as different views of the integrated data with navigation and exploration possibilities. Data can be combined and visualized multifariously, resulting in views of the integrated biological data. Availability: http://vanted.ipk-gatersleben.de/hive/. Contact: rohn@ipk-gatersleben.de
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btr282