{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T04:21:47Z","timestamp":1773289307304,"version":"3.50.1"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,9,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: 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.<\/jats:p>\n               <jats:p>Availability and Implementation: HiPub and detailed user guide are available at http:\/\/hipub.korea.ac.kr.<\/jats:p>\n               <jats:p>Contact: \u00a0kangj@korea.ac.kr, aikchoon.tan@ucdenver.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btw511","type":"journal-article","created":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T02:08:47Z","timestamp":1470190127000},"page":"2886-2888","source":"Crossref","is-referenced-by-count":14,"title":["HiPub: translating PubMed and PMC texts to networks for knowledge discovery"],"prefix":"10.1093","volume":"32","author":[{"given":"Kyubum","family":"Lee","sequence":"first","affiliation":[{"name":"1 Department of Computer Science and Engineering, Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wonho","family":"Shin","sequence":"additional","affiliation":[{"name":"2 Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byounggun","family":"Kim","sequence":"additional","affiliation":[{"name":"2 Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunwon","family":"Lee","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science and Engineering, Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghwa","family":"Choi","sequence":"additional","affiliation":[{"name":"1 Department of Computer Science and Engineering, Korea University, Seoul, 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