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BioVis Explorer: A visual guide for biological data visualization techniques

Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of s...

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Detalles Bibliográficos
Autores principales: Kerren, Andreas, Kucher, Kostiantyn, Li, Yuan-Fang, Schreiber, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665558/
https://www.ncbi.nlm.nih.gov/pubmed/29091942
http://dx.doi.org/10.1371/journal.pone.0187341
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author Kerren, Andreas
Kucher, Kostiantyn
Li, Yuan-Fang
Schreiber, Falk
author_facet Kerren, Andreas
Kucher, Kostiantyn
Li, Yuan-Fang
Schreiber, Falk
author_sort Kerren, Andreas
collection PubMed
description Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers and visualization researchers. To address this challenge, we have reviewed visualization research especially performed for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods. The tool is publicly available online and has been designed as community-based system which allows users to add their works easily.
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spelling pubmed-56655582017-11-17 BioVis Explorer: A visual guide for biological data visualization techniques Kerren, Andreas Kucher, Kostiantyn Li, Yuan-Fang Schreiber, Falk PLoS One Research Article Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers and visualization researchers. To address this challenge, we have reviewed visualization research especially performed for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods. The tool is publicly available online and has been designed as community-based system which allows users to add their works easily. Public Library of Science 2017-11-01 /pmc/articles/PMC5665558/ /pubmed/29091942 http://dx.doi.org/10.1371/journal.pone.0187341 Text en © 2017 Kerren et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kerren, Andreas
Kucher, Kostiantyn
Li, Yuan-Fang
Schreiber, Falk
BioVis Explorer: A visual guide for biological data visualization techniques
title BioVis Explorer: A visual guide for biological data visualization techniques
title_full BioVis Explorer: A visual guide for biological data visualization techniques
title_fullStr BioVis Explorer: A visual guide for biological data visualization techniques
title_full_unstemmed BioVis Explorer: A visual guide for biological data visualization techniques
title_short BioVis Explorer: A visual guide for biological data visualization techniques
title_sort biovis explorer: a visual guide for biological data visualization techniques
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665558/
https://www.ncbi.nlm.nih.gov/pubmed/29091942
http://dx.doi.org/10.1371/journal.pone.0187341
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