Objectif In living systems, one molecule is commonly involved in several distinct physiological functions. The roles of molecules are commonly summarized in pathway diagrams, which, however, are abstract, hierarchically nested and thus is difficult to comprehend especially by non-expert audience. The primary goal of this research in visualization is to intuitively support the comprehensive understanding of relationships among biological networks using interactively computed illustrations. Illustrations, especially in textbooks of biology are carefully designed to clearly present reactions between organs as well as interactions within cells. Automatic generation of illustrative visualizations of biological networks is thus the technical content of this proposal. Automatic generation of hand-drawn illustrations has been a challenging task due to the difficulty of algorithmically describing a human creative process such as evaluating and selecting significant information and composing meaningful explanations in a visually plausible manner. Our high-level idea in BioNetIllustration is to simulate this process by decomposing the entire problem into multiple steps including content-driven layout and illustration design as well as spatio-temporal event transitions across multiple representations. As a pioneer study on illustrations, a new visualization framework for these network illustrations will be developed. This study can be achieved by matching the unique competences of the researcher and the host research group and allows an innovative synthesis to produce hand-drawn like illustrations of biological networks. The project also involves experts from several disciplines including network and medical visualization, data mining, systems biology as well as perceptual psychology. The result will provide a new direction for physiological process analysis and accelerate the knowledge transfer not only within experts but also to the public. Champ scientifique natural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencedata miningsocial sciencespsychologymedical and health sciencesclinical medicineoncologymedical and health sciencesbasic medicinephysiology Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2016 - Individual Fellowships Appel à propositions H2020-MSCA-IF-2016 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-ST - Standard EF Coordinateur TECHNISCHE UNIVERSITAET WIEN Contribution nette de l'UE € 166 156,80 Adresse KARLSPLATZ 13 1040 Wien Autriche Voir sur la carte Région Ostösterreich Wien Wien Type d’activité Higher or Secondary Education Establishments Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 166 156,80