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

Bioinformatics

Department of Computer Science and Engineering, Korea University, Seoul, Korea Interdisciplinary Graduate Program in Bioinformatics, Korea University, Seoul, Korea.

Published: September 2016

Unlabelled: 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.

Availability And Implementation: HiPub and detailed user guide are available at http://hipub.korea.ac.kr

Contact: kangj@korea.ac.kr, aikchoon.tan@ucdenver.edu

Supplementary Information: Supplementary data are available at Bioinformatics online.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018380PMC
http://dx.doi.org/10.1093/bioinformatics/btw511DOI Listing

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