The integration of heterogeneous biological data into a common network representation is of paramount importance in different areas of biology and medicine. The size of the generated network in many cases prevents the...
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ISBN:
(纸本)9783031253799;9783031253805
The integration of heterogeneous biological data into a common network representation is of paramount importance in different areas of biology and medicine. The size of the generated network in many cases prevents the possibility of its graphical visualization, inspection, and identification of characteristics. In this paper, we present the main features of UNIPred-Web (UNIPred-Web is available at https://***/), a web application realized to support the user in the integration of several biomolecular networks and for their visualization and navigation at different resolution levels. In particular, the identification and effective visualization of hierarchical communities allow an easy exploration of the entire network, while protein function prediction functionalities support the user in the interpretation process.
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