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1.	Rohrschneider, Markus, et al. (author) A Novel Grid-based Visualization Approach for Metabolic Networks with Advanced Focus&Context View 2009 In: Graph Drawing. - Berlin Heidelberg New Work : Springer. - 9783642118043 ; , s. 268-279 Book chapter (peer-reviewed)abstract The universe of biochemical reactions in metabolic pathwayscan be modeled as a complex network structure augmented with domain specific annotations. Based on the functional properties of the involved reactions, metabolic networks are often clustered into so-called pathways inferred from expert knowledge. To support the domain expert in the exploration and analysis process, we follow the well-known Table Lens metaphor with the possibility to select multiple foci.In this paper, we introduce a novel approach to generate an interactive layout of such a metabolic network taking its hierarchical structure into account and present methods for navigation and exploration that preserve the mental map. The layout places the network nodes on a fixed rectilinear grid and routes the edges orthogonally between the node positions. Our approach supports bundled edge routes heuristically minimizing a given cost function based on the number of bends, the number of edge crossings and the density of edges within a bundle.

Rohrschneider, Markus, et al. (author)
A Novel Grid-based Visualization Approach for Metabolic Networks with Advanced Focus&Context View
2009
In: Graph Drawing. - Berlin Heidelberg New Work : Springer. - 9783642118043 ; , s. 268-279
Book chapter (peer-reviewed)abstract
- The universe of biochemical reactions in metabolic pathwayscan be modeled as a complex network structure augmented with domain specific annotations. Based on the functional properties of the involved reactions, metabolic networks are often clustered into so-called pathways inferred from expert knowledge. To support the domain expert in the exploration and analysis process, we follow the well-known Table Lens metaphor with the possibility to select multiple foci.In this paper, we introduce a novel approach to generate an interactive layout of such a metabolic network taking its hierarchical structure into account and present methods for navigation and exploration that preserve the mental map. The layout places the network nodes on a fixed rectilinear grid and routes the edges orthogonally between the node positions. Our approach supports bundled edge routes heuristically minimizing a given cost function based on the number of bends, the number of edge crossings and the density of edges within a bundle.

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