HiPub: translating PubMed and PMC texts to networks for knowledge discovery

  • Lee, Kyubum; 
  • Shin, Wonho; 
  • Kim, Byounggun; 
  • Lee, Sunwon; 
  • Choi, Yonghwa; 
  • ... Kang, Jaewoo; 
  • 외 3명
Citations

WEB OF SCIENCE

14
Citations

SCOPUS

15

초록

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.

제목
HiPub: translating PubMed and PMC texts to networks for knowledge discovery
저자
Lee, Kyubum; Shin, Wonho; Kim, Byounggun; Lee, Sunwon; Choi, Yonghwa; Kim, Sunkyu; Jeon, Minji; Tan, Aik Choon; Kang, Jaewoo
DOI
10.1093/bioinformatics/btw511
발행일
2016-09-15
유형
Article
저널명
Bioinformatics
권
32
호
18
페이지
2886 ~ 2888