Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

German conference on bioinformatics 2009 P-157, 105-116 (2009).

Gesellschaft für Informatik, Bonn

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Integration and visualisation of multimodal biological data

H. Rohn , C. Klukas and F. Schreiber


Understanding complex biological systems requires data from manifold biological levels. Often this data is analysed in some meaningful context, for example, by integrating it into biological networks. However, spatial data given as 2D images or 3D volumes is commonly not taken into consideration and analysed separately. Here we present a new approach to integrate and analyse complex multimodal biological data in space and time. We present a data structure to manage this kind of data and discuss application examples for different data integration scenarios. Figure 1: Preview of a prototypic system which integrates, analyses and visualises multimodal biological data based on a mapping graph. Rohn et al.

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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-251-2

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