Visual analytics of multimodal biological data

Hendrik Rohn; Christian Klukas; Falk Schreiber

Visual analytics of multimodal biological data

Hendrik Rohn
, Christian Klukas
, Falk Schreiber

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

Biological data is measured in increasing quantity and quality, resulting in data describing biological systems from different perspectives. Based on data integration methods, visual data mining and visual analytics can be used to promote the understanding of combined biological data and facilitate the exploration process. In this paper a number of view types are presented and integrated into a comprehensive software tool, in order to support researchers in visualizing flexible combinations of multimodal biological data and to create integrated views on comprehensive datasets spanning multiple "omics" areas. A number of interaction techniques accompany these views, enabling the efficient exploration of the data.

Original language	English
Title of host publication	IMAGAPP and IVAPP 2011 - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications
Pages	256-261
Number of pages	6
Publication status	Published - 2011
Externally published	Yes
Event	International Conference on Information Visualization Theory and Applications 2011 - Vilamoura, Algarve, Portugal Duration: 5 Mar 2011 → 7 Mar 2011

Conference

Conference	International Conference on Information Visualization Theory and Applications 2011
Abbreviated title	IVAPP 2011
Country/Territory	Portugal
City	Vilamoura, Algarve
Period	5/03/11 → 7/03/11

Keywords

Biological data
Integrative visualization
Visual analytics

Cite this

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title = "Visual analytics of multimodal biological data",

abstract = "Biological data is measured in increasing quantity and quality, resulting in data describing biological systems from different perspectives. Based on data integration methods, visual data mining and visual analytics can be used to promote the understanding of combined biological data and facilitate the exploration process. In this paper a number of view types are presented and integrated into a comprehensive software tool, in order to support researchers in visualizing flexible combinations of multimodal biological data and to create integrated views on comprehensive datasets spanning multiple {"}omics{"} areas. A number of interaction techniques accompany these views, enabling the efficient exploration of the data.",

keywords = "Biological data, Integrative visualization, Visual analytics",

author = "Hendrik Rohn and Christian Klukas and Falk Schreiber",

year = "2011",

language = "English",

isbn = "9789898425461",

pages = "256--261",

booktitle = "IMAGAPP and IVAPP 2011 - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications",

note = "International Conference on Information Visualization Theory and Applications 2011, IVAPP 2011 ; Conference date: 05-03-2011 Through 07-03-2011",

}

Rohn, H, Klukas, C & Schreiber, F 2011, Visual analytics of multimodal biological data. in IMAGAPP and IVAPP 2011 - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications. pp. 256-261, International Conference on Information Visualization Theory and Applications 2011, Vilamoura, Algarve, Portugal, 5/03/11.

Visual analytics of multimodal biological data. / Rohn, Hendrik; Klukas, Christian; Schreiber, Falk.
IMAGAPP and IVAPP 2011 - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications. 2011. p. 256-261.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Visual analytics of multimodal biological data

AU - Rohn, Hendrik

AU - Klukas, Christian

AU - Schreiber, Falk

PY - 2011

Y1 - 2011

N2 - Biological data is measured in increasing quantity and quality, resulting in data describing biological systems from different perspectives. Based on data integration methods, visual data mining and visual analytics can be used to promote the understanding of combined biological data and facilitate the exploration process. In this paper a number of view types are presented and integrated into a comprehensive software tool, in order to support researchers in visualizing flexible combinations of multimodal biological data and to create integrated views on comprehensive datasets spanning multiple "omics" areas. A number of interaction techniques accompany these views, enabling the efficient exploration of the data.

AB - Biological data is measured in increasing quantity and quality, resulting in data describing biological systems from different perspectives. Based on data integration methods, visual data mining and visual analytics can be used to promote the understanding of combined biological data and facilitate the exploration process. In this paper a number of view types are presented and integrated into a comprehensive software tool, in order to support researchers in visualizing flexible combinations of multimodal biological data and to create integrated views on comprehensive datasets spanning multiple "omics" areas. A number of interaction techniques accompany these views, enabling the efficient exploration of the data.

KW - Biological data

KW - Integrative visualization

KW - Visual analytics

UR - https://www.scopus.com/pages/publications/79960212511

M3 - Conference Paper

AN - SCOPUS:79960212511

SN - 9789898425461

SP - 256

EP - 261

BT - IMAGAPP and IVAPP 2011 - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications

T2 - International Conference on Information Visualization Theory and Applications 2011

Y2 - 5 March 2011 through 7 March 2011

ER -

Visual analytics of multimodal biological data

Abstract

Conference

Keywords

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Cite this