License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.8.4.32
URN: urn:nbn:de:0030-drops-97600
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9760/
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Aerts, Jan ; Gehlenborg, Nils ; Marai, Georgeta Elisabeta ; Nieselt, Kay Katja
Weitere Beteiligte (Hrsg. etc.): Jan Aerts and Nils Gehlenborg and Georgeta Elisabeta Marai and Kay Katja Nieselt

Visualization of Biological Data - Crossroads (Dagstuhl Seminar 18161)

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dagrep_v008_i004_p032_18161.pdf (18 MB)

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.

BibTeX - Entry

@Article{aerts_et_al:DR:2018:9760,
  author =	{Jan Aerts and Nils Gehlenborg and Georgeta Elisabeta Marai and Kay Katja Nieselt},
  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 =	{Jan Aerts and Nils Gehlenborg and Georgeta Elisabeta Marai and Kay Katja Nieselt},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9760},
  URN =		{urn:nbn:de:0030-drops-97600},
  doi =		{10.4230/DagRep.8.4.32},
  annote =	{Keywords: imaging, omics, sequence analysis, visual analytics, visualisation}
}

Keywords: imaging, omics, sequence analysis, visual analytics, visualisation
Collection: Dagstuhl Reports, Volume 8, Issue 4
Issue Date: 2018
Date of publication: 02.10.2018

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