License: 
Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.11.9.1
URN: urn:nbn:de:0030-drops-159158
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/15915/
Klein, Karsten ;
Marai, Georgeta Elisabeta ;
Nieselt, Kay Katja ;
Zupan, Blaz
Weitere Beteiligte (Hrsg. etc.): Karsten Klein and Georgeta Elisabeta Marai and Kay Katja Nieselt and Blaz Zupan
Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)
Abstract
Technological advancements in biology allow us to collect and generate a large quantity of data and pose a significant challenge to data interpretation and understanding. Addressing this challenge requires a blend of methodology from data visualization, bioinformatics, and biology. This methodology encompasses perception and design knowledge, algorithm design, techniques for analyzing and visualizing big data, statistical approaches, and specific domain knowledge for different application problems. In particular, it is essential to develop robust and integrative visualization methods combined with computational analytical techniques and approaches to communicate the outcomes visually. The purpose of Dagstuhl Seminar 21401, "Visualization of Biological Data - From Analysis to Communication," was to bring together researchers from various fields to discuss the state of the art, to debate means of advancing science in the field of visualization of biological data, and to foster the development of our international community.
BibTeX - Entry
@Article{klein_et_al:DagRep.11.9.1,
author = {Klein, Karsten and Marai, Georgeta Elisabeta and Nieselt, Kay Katja and Zupan, Blaz},
title = {{Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)}},
pages = {1--27},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2022},
volume = {11},
number = {9},
editor = {Klein, Karsten and Marai, Georgeta Elisabeta and Nieselt, Kay Katja and Zupan, Blaz},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/15915},
URN = {urn:nbn:de:0030-drops-159158},
doi = {10.4230/DagRep.11.9.1},
annote = {Keywords: Bioinformatics, biology, Imaging, interdisciplinarity, Omics, Visual analytics, visualization}
}
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Keywords: |
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Bioinformatics, biology, Imaging, interdisciplinarity, Omics, Visual analytics, visualization |
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Collection: |
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DagRep, Volume 11, Issue 9 |
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Issue Date: |
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2022 |
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Date of publication: |
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11.04.2022 |
