PubTator: a web-based text mining tool for assisting biocuration.

Chih Hsuan Wei, Hung Yu Kao, Zhiyong Lu

研究成果: Article同行評審

426 引文 斯高帕斯(Scopus)

摘要

Manually curating knowledge from biomedical literature into structured databases is highly expensive and time-consuming, making it difficult to keep pace with the rapid growth of the literature. There is therefore a pressing need to assist biocuration with automated text mining tools. Here, we describe PubTator, a web-based system for assisting biocuration. PubTator is different from the few existing tools by featuring a PubMed-like interface, which many biocurators find familiar, and being equipped with multiple challenge-winning text mining algorithms to ensure the quality of its automatic results. Through a formal evaluation with two external user groups, PubTator was shown to be capable of improving both the efficiency and accuracy of manual curation. PubTator is publicly available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator/.

原文English
頁(從 - 到)W518-522
期刊Unknown Journal
41
發行號Web Server issue
DOIs
出版狀態Published - 2013 7月

All Science Journal Classification (ASJC) codes

  • 遺傳學

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