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PubTatorCentral
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PubTator Central (PTC) is a Web-based system [1] providing automatic annotations of biomedical concepts such as genes and mutations in PubMed abstracts and PMC full-text articles. PTC expands the widely-used PubTator system [2,3] with several new additions as highlighted below.
Highlights
Full-Text Articles

PTC includes the full-text articles in the PMC Open Access subset (~3 million) in addition to the ~30 million abstracts in PubMed [4].

publications
Deep Learning

Cutting-edge machine learning and deep learning techniques are applied to concept disambiguation for improved accuracy.

neural net
Free Access

PubTator Central data is free and can be accessed interactively through a web browser, programmatically via RESTful API, or downloaded in bulk via FTP.

api
Always Up-to-date

PTC adds new articles every day to always keep in sync with PubMed and PMC.

update
Related Refs RIS BibTeX
1
PubTator Central: Automated Concept Annotation for Biomedical Full Text Articles
Chih-Hsuan Wei*, Alexis Allot*, Robert Leaman, Zhiyong Lu
Nucleic Acids Res. 2019
2
PubTator: a web-based text mining tool for assisting biocuration
Chih-Hsuan Wei, Hung-Yu Kao, Zhiyong Lu
Nucleic Acids Res. 2013
3
Beyond accuracy: creating interoperable and scalable text-mining web services
Chih-Hsuan Wei, Robert Leaman, Zhiyong Lu
Bioinformatics. 2016
4
PMC text mining subset in BioC: about three million full-text articles and growing
Donald C Comeau, Chih-Hsuan Wei, Rezarta Islamaj Doğan, Zhiyong Lu.
Bioinformatics. 2019