DagRep.11.9.1.pdf
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Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)
Authors and all authors of the abstracts in this report
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Dagstuhl Reports, Volume 11, Issue 9
Volume: Dagstuhl Reports, Volume 11
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-04-11
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Karsten Klein, Georgeta Elisabeta Marai, Kay Katja Nieselt, and Blaz Zupan. Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401). In Dagstuhl Reports, Volume 11, Issue 9, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DagRep.11.9.1
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.
Subject Classification
ACM Subject Classification
- Applied computing → Bioinformatics
- Applied computing → Life and medical sciences
- Human-centered computing → Visualization
Keywords
- Bioinformatics
- biology
- Imaging
- interdisciplinarity
- Omics
- Visual analytics
- visualization
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