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Biological Data Visualization (Dagstuhl Seminar 12372)

Authors: Carsten Görg, Lawrence Hunter, Jessie Kennedy, Sean O'Donoghue, and Jarke J. Van Wijk

Published in: Dagstuhl Reports, Volume 2, Issue 9 (2013)

Abstract

The topic of visualizing biological data has recently seen growing interest. Visualization approaches can help researchers understand and analyze today's large and complex biological datasets. The aim of this seminar was to bring together biologists, bioinformaticians, and computer scientists to survey the current state of tools for visualizing biological data and to define a research agenda for developing the next generation of tools. During the seminar, the participants formed working groups on nine different topics, reflected on the ongoing research in those areas, and discussed how to address key challenges; six talks complemented the work in the breakout groups. This report documents the program and the outcome of Dagstuhl Seminar 12372 "Biological Data Visualization".

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Carsten Görg, Lawrence Hunter, Jessie Kennedy, Sean O'Donoghue, and Jarke J. Van Wijk. Biological Data Visualization (Dagstuhl Seminar 12372). In Dagstuhl Reports, Volume 2, Issue 9, pp. 131-164, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{gorg_et_al:DagRep.2.9.131,
  author =	{G\"{o}rg, Carsten and Hunter, Lawrence and Kennedy, Jessie and O'Donoghue, Sean and Van Wijk, Jarke J.},
  title =	{{Biological Data Visualization (Dagstuhl Seminar 12372)}},
  pages =	{131--164},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{2},
  number =	{9},
  editor =	{G\"{o}rg, Carsten and Hunter, Lawrence and Kennedy, Jessie and O'Donoghue, Sean and Van Wijk, Jarke J.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.9.131},
  URN =		{urn:nbn:de:0030-drops-39731},
  doi =		{10.4230/DagRep.2.9.131},
  annote =	{Keywords: Information visualization, data visualization, biology, bioinformatics, user interfaces, visual analytics}
}

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Biological Data Visualization (Dagstuhl Seminar 12372)

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