Paper Info
Title
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.
Year
DOI
Venue
2016
10.1007/978-3-319-44944-9_55
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, AIAI 2016
Keywords
Field
DocType
Web tool, Biological networks, Protein-protein interaction networks, Network clustering, Network visualization
Protein protein interaction network,Data science,Graph drawing,Network clustering,Visualization,Biological network,Computer science,Web modeling,Cluster analysis
Conference
Volume
ISSN
Citations 
475
1868-4238
0
PageRank 
References 
Authors
0.34
12
10
Name
Order
Citations
PageRank
Maria Tserirzoglou-Thoma100.34
Konstantinos A. Theofilatos29913.69
Eleni Tsitsouli300.34
Georgios Panges-Tserres400.34
Christos E. Alexakos5179.87
Charalampos N. Moschopoulos61579.32
Georgios Alexopoulos700.34
Konstantinos Giannoulis800.34
Spiros Likothanassis98412.44
Seferina Mavroudi107314.58