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. 2016 Aug 2;32(18):2886–2888. doi: 10.1093/bioinformatics/btw511

Fig. 1.

Fig. 1.

Overview of the HiPub application. (a) HiPub annotates and highlights biomedical entities in texts. (b) HiPub will display basic information of a highlighted entity when the cursor moves over it. (c) HiPub icon for turning on/off this application in the Chrome browser. (d) Users can click the icon to highlight and add user-defined entities to the biomedical entity network. (e) HiPub will display detailed information of a highlighted entity in a pop-up window when the entity is clicked. (f) HiPub window visualizes recognized entities in texts as a network, allows users to add entities from similar articles, provides search query links for external databases, and performs enrichment analysis for GO terms/KEGG pathways. (g) The biomedical entity network visualizes the relations between entities in a text. The network integrates context-specific entity-relationships extracted from the text and known relationships from external databases for discovering knowledge. Light blue and grey edges represent context-specific and known entity-relationships, respectively. Width of light blue edges represents the frequency of co-occurrence between two entities in the text. The darker grey edge represents the number of evidences supported by external sources