Wang, QiQiWangTang, BiaoBiaoTangSong, LifuLifuSongRen, BiaoBiaoRenLiang, QunQunLiangXie, FengFengXieZhuo, YingYingZhuoLiu, XuetingXuetingLiuZhang, LixinLixinZhang2019-01-312019-01-312013-11-14BMC Bioinformatics 1 (14): 322 (2013)https://tubdok.tub.tuhh.de/handle/11420/2003Background: 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.en1471-210520131322BioMed Central ; Springerhttps://creativecommons.org/licenses/by/2.0/flux balance analysisnetwork visualizationlayout algorithmgraph layoutmotion graphBiowissenschaften, BiologieJournal Articleurn:nbn:de:gbv:830-882.02624910.15480/882.200011420/200310.1186/1471-2105-14-32210.15480/882.2000Other