iRNA-AI specifications


Unique identifier OMICS_14984
Name iRNA-AI
Interface Web user interface
Restrictions to use None
Input data RNA sequences
Input format FASTA
Computer skills Basic
Stability No
Maintained No



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Publication for iRNA-AI

iRNA-AI citation


Accurate identification of RNA editing sites from primitive sequence with deep neural networks

Sci Rep
PMCID: 5902551
PMID: 29662087
DOI: 10.1038/s41598-018-24298-y

[…] cient, whereas the deficiency of single nucleotide polymorphism (SNP) information in some species makes the GIREMI and RNAEditor non-applicable. In 2016, two user-friendly web servers, called PAI and iRNA-AI, were established to identify A-to-I editing from RNA sequence information alone,. These two methods both employed support vector machine as classifier. PAI incorporated six RNA physiochemical […]

iRNA-AI institution(s)
Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, China; Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan, China; Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China; Gordon Life Science Institute, Belmont, MA, USA
iRNA-AI funding source(s)
This work was supported by Program for the Top Young Innovative Talents of Higher Learning Institutions of Hebei Province (No. BJ2014028), the Outstanding Youth Foundation of North China University of Science and Technology (No. JP201502), China Postdoctoral Science Foundation (No.2015M582533), and the Fundamental Research Funds for the Central Universities, China (Nos. ZYGX2015J144, ZYGX2015Z006).

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