RAMPred specifications


Unique identifier OMICS_18569
Name RAMPred
Alternative name Rna N1-Adenosine Methylation PREDictor
Interface Web user interface
Restrictions to use None
Input data Some RNA sequences (longer than 41 characters).
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes


  • Plants and Fungi
    • Saccharomyces cerevisiae
  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus


  • person_outline Wei Chen

Publication for Rna N1-Adenosine Methylation PREDictor

RAMPred citation


Recent Advances in Identification of RNA Modifications

Noncoding RNA
PMCID: 5831996
PMID: 29657273
DOI: 10.3390/ncrna3010001

[…] ethods for studying the distribution of m1A sites.Experimental data has provided unprecedented opportunities. Based on the data from the MeRIP-seq and m1A-ID-seq experiments, Chen et al. proposed the RAMPred server for predicting m1A sites [], which is the first computational tool for predicting m1A sites so far and is freely accessible at http://lin.uestc.edu.cn/server/RAMPred. The RAMPred is abl […]

RAMPred institution(s)
Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Tangshan, China; School of Public Health, North China University of Science and Technology, Tangshan, China; Department of Pathophysiology, Southwest Medical University, Luzhou, China; Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics and Center for Information in Biomedicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
RAMPred funding source(s)
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), the Scientific Research Foundation of the Education Department of Sichuan Province (11ZB122) and the Fundamental Research Funds for the Central Universities, China (Nos ZYGX2015J144, ZYGX2015Z006).

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