Background: The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-dimensional visualization tools.Results: We developed a 3D Cytoscape Client/Server (3DScapeCS) plugin, which adopted Cytoscape in interpreting different types of data, and UbiGraph for three-dimensional visualization. The extra dimension is useful in accommodating, visualizing, and distinguishing large-scale networks with multiple crossed connections in five case studies.Conclusions: Evaluation on several experimental data using 3DScapeCS and its special features, including multilevel graph layout, time-course data animation, and parallel visualization has proven its usefulness in visualizing complex data and help to make insightful conclusions. © 2013 Wang et al.; licensee BioMed Central Ltd.
CITATION STYLE
Wang, Q., Tang, B., Song, L., Ren, B., Liang, Q., Xie, F., … Zhang, L. (2013). 3DScapeCS: Application of three dimensional, parallel, dynamic network visualization in Cytoscape. BMC Bioinformatics, 14(1). https://doi.org/10.1186/1471-2105-14-322
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