Abstract:
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.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Wang Q,Tang B,Song L,Ren B,Liang Q,Xie F,Zhuo Y,Liu X,Zhang Ldoi
10.1186/1471-2105-14-322subject
Has Abstractpub_date
2013-11-14 00:00:00pages
322issn
1471-2105pii
1471-2105-14-322journal_volume
14pub_type
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