RIscoper: a tool for RNA–RNA interaction extraction from the literature

作者：Yang Zhang, Tianyuan Liu, Liqun Chen, Jinxurong Yang, Jiayi Yin, Yuncong Zhang, Zhixi Yun, Hao Xu, Ning Lin, Feng‐Biao Guo, Yongshuai Jiang, Hao Lin, Dong Wang, Yan Huang, Jian Huang · 发表于：Bioinformatics · 年份：2019 · DOI：10.1093/bioinformatics/btz044 · 被引用次数：28 · 研究领域：Biomedical Text Mining and Ontologies、RNA and protein synthesis mechanisms、Topic Modeling

MOTIVATION: Numerous experimental and computational studies in the biomedical literature have provided considerable amounts of data on diverse RNA-RNA interactions (RRIs). However, few text mining systems for RRIs information extraction are available. RESULTS: RNA Interactome Scoper (RIscoper) represents the first tool for full-scale RNA interactome scanning and was developed for extracting RRIs from the literature based on the N-gram model. Notably, a reliable RRI corpus was integrated in RIscoper, and more than 13 300 manually curated sentences with RRI information were recruited. RIscoper allows users to upload full texts or abstracts, and provides an online search tool that is connected with PubMed (PMID and keyword input), and these capabilities are useful for biologists. RIscoper has a strong performance (90.4% precision and 93.9% recall), integrates natural language processing techniques and has a reliable RRI corpus. AVAILABILITY AND IMPLEMENTATION: The standalone software and web server of RIscoper are freely available at www.rna-society.org/riscoper/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.