BioVis Explorer : A visual guide for biological data visualization techniques

Kerren, Andreas; Kucher, Kostiantyn; Li, Yuan-Fang; Schreiber, Falk

BioVis Explorer : A visual guide for biological data visualization techniques

Dateien

Kerren_2-6k67s17dg9mk7.pdfGröße: 2.31 MBDownloads: 460

Datum

2017

Autor:innen

Kerren, Andreas

Kucher, Kostiantyn

Li, Yuan-Fang

Schreiber, Falk

Open Access-Veröffentlichung

Open Access Gold

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

PLoS ONE. 2017, 12(11), e0187341. eISSN 1932-6203. Available under: doi: 10.1371/journal.pone.0187341

Zusammenfassung

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.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

KERREN, Andreas, Kostiantyn KUCHER, Yuan-Fang LI, Falk SCHREIBER, 2017. BioVis Explorer : A visual guide for biological data visualization techniques. In: PLoS ONE. 2017, 12(11), e0187341. eISSN 1932-6203. Available under: doi: 10.1371/journal.pone.0187341

BibTex

@article{Kerren2017BioVi-40899,
  year={2017},
  doi={10.1371/journal.pone.0187341},
  title={BioVis Explorer : A visual guide for biological data visualization techniques},
  number={11},
  volume={12},
  journal={PLoS ONE},
  author={Kerren, Andreas and Kucher, Kostiantyn and Li, Yuan-Fang and Schreiber, Falk},
  note={Article Number: e0187341}
}

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Universitätsbibliographie

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