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

Author:

Zhang Yang1,Liu Tianyuan2,Chen Liqun2,Yang Jinxurong2,Yin Jiayi1,Zhang Yuncong2,Yun Zhixi1,Xu Hao1,Ning Lin1,Guo Fengbiao1ORCID,Jiang Yongshuai2,Lin Hao1,Wang Dong123,Huang Yan23,Huang Jian1

Affiliation:

1. Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China

2. College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China

3. Department of Bioinformatics, School of Basic Medical Science, Southern Medical University, Guangzhou, China

Abstract

Abstract 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.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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