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Superclusteroid 2.0: A Web Tool for Processing Big Biological Networks

Abstract : Biological networks have been the most prevalent model to analyze the complexity of cellular mechanisms. The expansion of the existing knowledge on known intracellular players such as genes, RNA molecules and proteins as long as the continued study on their interactions has increased lately the ability to construct big biological networks of increased complexity. Many web tools have been introduced in the last decade but they are incomplete, as they do not provide all required features for a full research study neither they can handle the big and complex nature of these networks and the increased needs of researchers for fast and uninterrupted analysis. In the present paper, the new version of the Superclusteroid tool is presented which includes among others new visualization features, network comparison tools and new clustering algorithms. Moreover, a new strategy is proposed to deal with the necessity of handling effectively the increased work load of the tool as long as to improve the speed in the two most time consuming steps: network visualization and network clustering.
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Maria Tserirzoglou-Thoma, Konstantinos Theofilatos, Eleni Tsitsouli, Georgios Panges-Tserres, Christos Alexakos, et al.. Superclusteroid 2.0: A Web Tool for Processing Big Biological Networks. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. pp.623-633, ⟨10.1007/978-3-319-44944-9_55⟩. ⟨hal-01557642⟩



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