Explore the words cloud of the BioNetIllustration project. It provides you a very rough idea of what is the project "BioNetIllustration" about.
The following table provides information about the project.
Coordinator |
TECHNISCHE UNIVERSITAET WIEN
Organization address contact info |
Coordinator Country | Austria [AT] |
Project website | https://www.cg.tuwien.ac.at/research/projects/BioNetIllustration/ |
Total cost | 166˙156 € |
EC max contribution | 166˙156 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2016 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2017 |
Duration (year-month-day) | from 2017-06-01 to 2019-06-20 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | TECHNISCHE UNIVERSITAET WIEN | AT (WIEN) | coordinator | 166˙156.00 |
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.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Daniel Archambault, Jessie Kennedy, Tatiana von Landesberger, Mark McCann, Fintan McGee, Benjamin Renoust, Hsiang-Yun Wu Lost in Translation: Alignment of Mental Representations for Visual Analytics published pages: , ISSN: , DOI: |
Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127) | 2020-01-21 |
2019 |
David Kouril, Ladislav Cmolik, Barbora Kozlikova, Hslanc-Yun Wu, Graham Johnson, David S. Goodsell, Arthur Olson, M. Eduard Groller, Ivan Viola Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments published pages: 977-986, ISSN: 1077-2626, DOI: 10.1109/tvcg.2018.2864491 |
IEEE Transactions on Visualization and Computer Graphics 25/1 | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, Martin Nöllenburg A Survey on Computing Schematic Network Maps: The Challenge to Interactivity published pages: , ISSN: , DOI: |
The 2nd Schematic Mapping Workshop | 2020-01-21 |
2018 |
Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu Exploring the limits of complexity: A survey of empirical studies on graph visualisation published pages: 264-282, ISSN: 2468-502X, DOI: 10.1016/j.visinf.2018.12.006 |
Visual Informatics 2/4 | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Martin No ̈llenburg, Ivan Viola Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges published pages: , ISSN: , DOI: |
2020-01-21 | |
2019 |
Kazuyo Mizuno, Hsiangâ€Yun Wu, Shigeo Takahashi, Takeo Igarashi Optimizing Stepwise Animation in Dynamic Set Diagrams published pages: 13-24, ISSN: 0167-7055, DOI: 10.1111/cgf.13668 |
Computer Graphics Forum 38/3 | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Martin Nöllenburg, Ivan Viola A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways published pages: , ISSN: , DOI: |
2020-01-21 | |
2019 |
Maximillian Sbardellati, Haichao Miao, Hsiang-Yun Wu, Meister Eduard Gröller, Ivan Barisic, Ivan Viola Interactive Exploded Views for Molecular Structures published pages: , ISSN: , DOI: |
Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine | 2020-01-21 |
2018 |
Radu Jianu, Martin Krzywinski, Luana Micallef, Hsiang-Yun Wu Mapifying the Genome published pages: , ISSN: , DOI: |
Scalable Set Visualizations (Dagstuhl Seminar 17332) | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Martin Nöllenburg, Filipa L. Sousa, Ivan Viola Metabopolis: scalable network layout for biological pathway diagrams in urban map style published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-019-2779-4 |
BMC Bioinformatics 20/1 | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Martin Nöllenburg, Ivan Viola The Travel of a Metabolite published pages: , ISSN: , DOI: |
PacificVis 2018 Data Story Telling Contest | 2020-01-21 |
2019 |
Hsiang-Yun Wu, Haichao Miao, Ivan Viola From Cells to Atoms - Biological Information Visualization (in Chinese) published pages: , ISSN: , DOI: |
2020-01-21 | |
2017 |
Hsiang-Yun Wu, Shigeo Takahashi, Rie Ishida Overlap-free labeling of clustered networks based on Voronoi tessellation published pages: , ISSN: 1045-926X, DOI: 10.1016/j.jvlc.2017.09.008 |
Journal of Visual Languages & Computing | 2020-01-21 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIONETILLUSTRATION" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "BIONETILLUSTRATION" are provided by the European Opendata Portal: CORDIS opendata.