TY - GEN
T1 - A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks
AU - Ba, Cheick Tidiane
AU - Casiraghi, Elena
AU - Frasca, Marco
AU - Gliozzo, Jessica
AU - Grossi, Giuliano
AU - Mesiti, Marco
AU - Notaro, Marco
AU - Perlasca, Paolo
AU - Petrini, Alessandro
AU - Re, Matteo
AU - Valentini, Giorgio
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Many interactions among bio-molecular entities, e.g. genes, proteins, metabolites, can be easily represented by means of property graphs, i.e. graphs that are annotated both on the vertices (e.g. entity identifier, Gene Ontology or Human Phenotype Ontology terms) and on the edges (the strength of the relationship, the evidence of the source from which the weight has been taken, etc.). These graphs contain a relevant information that can be exploited for conducting different kinds of analysis, such as automatic function prediction, disease gene prioritization, drug repositioning. However, the number and size of the networks are becoming quite large and there is the need of tools that allow the biologists to manage the networks, graphically explore their structures, and organize the visualization and analysis of the graph according to different perspectives. In this paper we introduce the web service that we have developed for the visual analysis of biomolecular networks. Specifically we will show the different functionalities for exploring big networks (that do not fit in the current canvas) starting from a specific vertex, for changing the view perspective of the network, and for navigating the network and thus identifying new relationships. The proposed system extends the functionalities of off-the-shelf graphical visualization tools (e.g. GraphViz and GeneMania) by limiting the production of big cloud of points and allowing further customized visualizations of the network and introducing their vertex-centric exploration.
AB - Many interactions among bio-molecular entities, e.g. genes, proteins, metabolites, can be easily represented by means of property graphs, i.e. graphs that are annotated both on the vertices (e.g. entity identifier, Gene Ontology or Human Phenotype Ontology terms) and on the edges (the strength of the relationship, the evidence of the source from which the weight has been taken, etc.). These graphs contain a relevant information that can be exploited for conducting different kinds of analysis, such as automatic function prediction, disease gene prioritization, drug repositioning. However, the number and size of the networks are becoming quite large and there is the need of tools that allow the biologists to manage the networks, graphically explore their structures, and organize the visualization and analysis of the graph according to different perspectives. In this paper we introduce the web service that we have developed for the visual analysis of biomolecular networks. Specifically we will show the different functionalities for exploring big networks (that do not fit in the current canvas) starting from a specific vertex, for changing the view perspective of the network, and for navigating the network and thus identifying new relationships. The proposed system extends the functionalities of off-the-shelf graphical visualization tools (e.g. GraphViz and GeneMania) by limiting the production of big cloud of points and allowing further customized visualizations of the network and introducing their vertex-centric exploration.
KW - Biological network
KW - Graph visualization
KW - Information visualization
KW - Protein function prediction
UR - http://www.scopus.com/inward/record.url?scp=85082122746&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082122746&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34585-3_8
DO - 10.1007/978-3-030-34585-3_8
M3 - Conference contribution
AN - SCOPUS:85082122746
SN - 9783030345846
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 88
EP - 98
BT - Computational Intelligence Methods for Bioinformatics and Biostatistics - 15th International Meeting, CIBB 2018, Revised Selected Papers
A2 - Raposo, Maria
A2 - Ribeiro, Paulo
A2 - Sério, Susana
A2 - Staiano, Antonino
A2 - Ciaramella, Angelo
PB - Springer
T2 - 15th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2018
Y2 - 6 September 2018 through 8 September 2018
ER -