We introduce HiPub, a seamless Chrome browser plug-in that automatically recognizes, annotates and translates biomedical entities from texts into networks for knowledge discovery. Using a combination of two different named-entity recognition resources, HiPub can recognize genes, proteins, diseases, drugs, mutations and cell lines in texts, and achieve high precision and recall. HiPub extracts biomedical entity-relationships from texts to construct context-specific networks, and integrates existing network data from external databases for knowledge discovery. It allows users to add additional entities from related articles, as well as user-defined entities for discovering new and unexpected entity-relationships. HiPub provides functional enrichment analysis on the biomedical entity network, and link-outs to external resources to assist users in learning new entities and relations.
CITATION STYLE
Lee, K., Shin, W., Kim, B., Lee, S., Choi, Y., Kim, S., … Kang, J. (2016). HiPub: Translating PubMed and PMC texts to networks for knowledge discovery. Bioinformatics, 32(18), 2886–2888. https://doi.org/10.1093/bioinformatics/btw511
Mendeley helps you to discover research relevant for your work.