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PathwayMatrix: visualizing binary relationships between proteins in biological pathways.

Authors :
Tuan Nhon Dang
Murray, Paul
Forbes, Angus Graeme
Source :
BMC Proceedings. 8/13/2015, Vol. 9 Issue 7 Supp, p1-13. 13p.
Publication Year :
2015

Abstract

Background: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is difficult. Visualizing and analyzing a pathway is a challenge due to the network size and the diversity of relations between proteins and molecules. Results: In this paper, we introduce PathwayMatrix, a visualization tool that presents the binary relations between proteins in the pathway via the use of an interactive adjacency matrix. We provide filtering, lensing, clustering, and brushing and linking capabilities in order to present relevant details about proteins within a pathway. Conclusions: We evaluated PathwayMatrix by conducting a series of in-depth interviews with domain experts who provided positive feedback, leading us to believe that our visualization technique could be helpful for the larger community of researchers utilizing pathway visualizations. PathwayMatrix is freely available at https://github.com/ CreativeCodingLab/PathwayMatrix. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17536561
Volume :
9
Issue :
7 Supp
Database :
Academic Search Index
Journal :
BMC Proceedings
Publication Type :
Academic Journal
Accession number :
111023455
Full Text :
https://doi.org/10.1186/1753-6561-9-S6-S3