Abstract
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.
Original language | English |
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Title of host publication | GCB 2009 - German Conference on Bioinformatics 2009 |
Publisher | Springer |
Pages | 105-115 |
Number of pages | 11 |
ISBN (Print) | 9783885792512 |
Publication status | Published - 2009 |
Externally published | Yes |
Event | German Conference on Bioinformatics 2009, GCB 2009 - Halle-Wittenberg, Germany Duration: 28 Sept 2009 → 30 Sept 2009 |
Publication series
Name | GCB 2009 - German Conference on Bioinformatics 2009 |
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Conference
Conference | German Conference on Bioinformatics 2009, GCB 2009 |
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Country/Territory | Germany |
City | Halle-Wittenberg |
Period | 28/09/09 → 30/09/09 |