Aarhus University Seal / Aarhus Universitets segl

Hans-Jörg Schulz

Visual Analysis of Bipartite Biological Networks

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Standard

Visual Analysis of Bipartite Biological Networks. / Schulz, Hans-Jörg; John, Mathias; Unger, Andrea; Schumann, Heidrun.

Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. ed. / Charl P. Botha; Gordon Kindlmann; Wiro Niessen; Bernhard Preim. Delft, The Netherlands : Eurographics Association, 2008. p. 135-142.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Schulz, H-J, John, M, Unger, A & Schumann, H 2008, Visual Analysis of Bipartite Biological Networks. in CP Botha, G Kindlmann, W Niessen & B Preim (eds), Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. Eurographics Association, Delft, The Netherlands, pp. 135-142. https://doi.org/10.2312/VCBM/VCBM08/135-142

APA

Schulz, H-J., John, M., Unger, A., & Schumann, H. (2008). Visual Analysis of Bipartite Biological Networks. In C. P. Botha, G. Kindlmann, W. Niessen, & B. Preim (Eds.), Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008 (pp. 135-142). Eurographics Association. https://doi.org/10.2312/VCBM/VCBM08/135-142

CBE

Schulz H-J, John M, Unger A, Schumann H. 2008. Visual Analysis of Bipartite Biological Networks. Botha CP, Kindlmann G, Niessen W, Preim B, editors. In Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. Delft, The Netherlands: Eurographics Association. pp. 135-142. https://doi.org/10.2312/VCBM/VCBM08/135-142

MLA

Schulz, Hans-Jörg et al. "Visual Analysis of Bipartite Biological Networks"., Botha, Charl P. and Kindlmann, Gordon Niessen, Wiro Preim, Bernhard (editors). Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. Delft, The Netherlands: Eurographics Association. 2008, 135-142. https://doi.org/10.2312/VCBM/VCBM08/135-142

Vancouver

Schulz H-J, John M, Unger A, Schumann H. Visual Analysis of Bipartite Biological Networks. In Botha CP, Kindlmann G, Niessen W, Preim B, editors, Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. Delft, The Netherlands: Eurographics Association. 2008. p. 135-142 https://doi.org/10.2312/VCBM/VCBM08/135-142

Author

Schulz, Hans-Jörg ; John, Mathias ; Unger, Andrea ; Schumann, Heidrun. / Visual Analysis of Bipartite Biological Networks. Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008. editor / Charl P. Botha ; Gordon Kindlmann ; Wiro Niessen ; Bernhard Preim. Delft, The Netherlands : Eurographics Association, 2008. pp. 135-142

Bibtex

@inproceedings{7dfea7a15d2641e5b089f36b7f95ad8f,
title = "Visual Analysis of Bipartite Biological Networks",
abstract = "In life sciences, the importance of complex network visualization is ever increasing. Yet, existing approaches for the visualization of networks are general purpose techniques that are often not suited to support the specific needs of researchers in the life sciences, or to handle the large network sizes and specific network characteristics that are prevalent in the field. Examples for such networks are biomedical ontologies and biochemical reaction networks, which are bipartite networks - a particular graph class which is rarely addressed in visualization. Our table-based approach allows to visualize large bipartite networks alongside with a multitude of attributes and hyperlinks to biological databases. To explore complex network motifs and perform intricate selections within the visualized network data, we introduce a new script-based brushing mechanism that integrates naturally with the interlinked, tabular representation. A prototype for exploring bipartite graphs, which uses the proposed visualization and interaction techniques, is also presented and used on real data sets from the application domain.",
author = "Hans-J{\"o}rg Schulz and Mathias John and Andrea Unger and Heidrun Schumann",
year = "2008",
doi = "10.2312/VCBM/VCBM08/135-142",
language = "English",
isbn = "978-3-905674-13-2",
pages = "135--142",
editor = "Botha, {Charl P.} and Gordon Kindlmann and Wiro Niessen and Bernhard Preim",
booktitle = "Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008",
publisher = "Eurographics Association",

}

RIS

TY - GEN

T1 - Visual Analysis of Bipartite Biological Networks

AU - Schulz, Hans-Jörg

AU - John, Mathias

AU - Unger, Andrea

AU - Schumann, Heidrun

PY - 2008

Y1 - 2008

N2 - In life sciences, the importance of complex network visualization is ever increasing. Yet, existing approaches for the visualization of networks are general purpose techniques that are often not suited to support the specific needs of researchers in the life sciences, or to handle the large network sizes and specific network characteristics that are prevalent in the field. Examples for such networks are biomedical ontologies and biochemical reaction networks, which are bipartite networks - a particular graph class which is rarely addressed in visualization. Our table-based approach allows to visualize large bipartite networks alongside with a multitude of attributes and hyperlinks to biological databases. To explore complex network motifs and perform intricate selections within the visualized network data, we introduce a new script-based brushing mechanism that integrates naturally with the interlinked, tabular representation. A prototype for exploring bipartite graphs, which uses the proposed visualization and interaction techniques, is also presented and used on real data sets from the application domain.

AB - In life sciences, the importance of complex network visualization is ever increasing. Yet, existing approaches for the visualization of networks are general purpose techniques that are often not suited to support the specific needs of researchers in the life sciences, or to handle the large network sizes and specific network characteristics that are prevalent in the field. Examples for such networks are biomedical ontologies and biochemical reaction networks, which are bipartite networks - a particular graph class which is rarely addressed in visualization. Our table-based approach allows to visualize large bipartite networks alongside with a multitude of attributes and hyperlinks to biological databases. To explore complex network motifs and perform intricate selections within the visualized network data, we introduce a new script-based brushing mechanism that integrates naturally with the interlinked, tabular representation. A prototype for exploring bipartite graphs, which uses the proposed visualization and interaction techniques, is also presented and used on real data sets from the application domain.

U2 - 10.2312/VCBM/VCBM08/135-142

DO - 10.2312/VCBM/VCBM08/135-142

M3 - Article in proceedings

SN - 978-3-905674-13-2

SP - 135

EP - 142

BT - Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008

A2 - Botha, Charl P.

A2 - Kindlmann, Gordon

A2 - Niessen, Wiro

A2 - Preim, Bernhard

PB - Eurographics Association

CY - Delft, The Netherlands

ER -