ABSTRACT
PubTator Central (https://www.ncbi.nlm.nih.gov/research/pubtator/) [1] is a web service for exploring and retrieving bioconcept annotations in full text biomedical articles. PubTator Central (PTC) provides automated annotations from state-of-the-art text mining systems for genes/proteins, genetic variants, diseases, chemicals, species and cell lines, all available for immediate download. PTC annotates PubMed (30 million abstracts), the PMC Open Access Subset and the Author Manuscript Collection (3 million full text articles). These full text articles increase the total number of annotations nearly four-fold. The new PTC web interface features semantic search and faceted shortcuts to improve navigation in full text. Increased throughput and speed despite a huge increase in data volume is permitted by a significantly redesigned back end that heavily exploits nonrelational data. Updated entity identification methods and a new disambiguation module based on cutting-edge deep learning techniques provide increased accuracy. The PTC web interface allows users to easily navigate through bioentities present in full-text articles, build full text document collections and visualize concept annotations in each document. Annotations are downloadable in multiple formats (XML, JSON and tab delimited) via the online interface, a RESTful web service and bulk FTP. PTC is synchronized with PubMed and PubMed Central, with new articles added daily. The original PubTator [2] service has served annotated abstracts for ~300 million requests, enabling third-party research in use cases such as biocuration support, gene prioritization, genetic disease analysis, and literature-based knowledge discovery. We demonstrate the full text results in PTC significantly increase biomedical concept coverage and anticipate this expansion will both enhance existing downstream applications and enable new use cases.
- Wei,C.H., Allot, A., Leaman,R., and Lu,Z. PubTator Central: Automated Concept Annotation for Biomedical Full Text Articles. Nucleic Acids Research, 2019 (Web Server issue)Google Scholar
- Wei,C.H., Kao,H.Y., and Lu,Z. (2013) PubTator: a Web-based text mining tool for assisting Biocuration. Nucleic Acids Res., 41, W518-W522Google ScholarCross Ref
Index Terms
- A Text-Mining System for Concept Annotation in Biomedical Full Text Articles
Recommendations
Text mining tools for assisting literature curation
BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health InformaticsToday's biomedical research has become heavily dependent on the access to biological knowledge encoded in expert curated biological databases (e.g. Swiss-Prot). As the volume of biological literature grows rapidly, it becomes increasingly difficult for ...
Using MEDLINE as a knowledge source for disambiguating abbreviations and acronyms in full-text biomedical journal articles
Biomedical abbreviations and acronyms are widely used in biomedical literature. Since many of them represent important content in biomedical literature, information retrieval and extraction benefits from identifying the meanings of those terms. On the ...
Using MEDLINE as a Knowledge Source for Disambiguating Abbreviations in Full-Text Biomedical Journal Articles
CBMS '04: Proceedings of the 17th IEEE Symposium on Computer-Based Medical SystemsBiomedical abbreviations and acronyms are widely used in biomedical literature. Since many abbreviations represent important content in biomedical literature, information retrieval and extraction benefits from identifying the meanings of biomedical ...
Comments