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Documents authored by Nieselt, Kay Katja

Document
DOI: 10.4230/DagRep.11.9.1
Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)

Authors: Karsten Klein, Georgeta Elisabeta Marai, Kay Katja Nieselt, and Blaz Zupan

Published in: Dagstuhl Reports, Volume 11, Issue 9 (2022)

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.
Cite as

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)

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@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/entities/document/10.4230/DagRep.11.9.1},
  URN =		{urn:nbn:de:0030-drops-159158},
  doi =		{10.4230/DagRep.11.9.1},
  annote =	{Keywords: Bioinformatics, biology, Imaging, interdisciplinarity, Omics, Visual analytics, visualization}
}
Document
DOI: 10.4230/DagRep.8.4.32
Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161)

Authors: Jan Aerts, Nils Gehlenborg, Georgeta Elisabeta Marai, and Kay Katja Nieselt

Published in: Dagstuhl Reports, Volume 8, Issue 4 (2018)

Abstract
Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data - Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research.
Cite as

Jan Aerts, Nils Gehlenborg, Georgeta Elisabeta Marai, and Kay Katja Nieselt. Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161). In Dagstuhl Reports, Volume 8, Issue 4, pp. 32-71, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{aerts_et_al:DagRep.8.4.32,
  author =	{Aerts, Jan and Gehlenborg, Nils and Marai, Georgeta Elisabeta and Nieselt, Kay Katja},
  title =	{{Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161)}},
  pages =	{32--71},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{4},
  editor =	{Aerts, Jan and Gehlenborg, Nils and Marai, Georgeta Elisabeta and Nieselt, Kay Katja},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.4.32},
  URN =		{urn:nbn:de:0030-drops-97600},
  doi =		{10.4230/DagRep.8.4.32},
  annote =	{Keywords: imaging, omics, sequence analysis, visual analytics, visualisation}
}
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