ArticlePloS one2016
RNAMethPre: A Web Server for the Prediction and Query of mRNA m6A Sites.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 54 citations in OpenAlex.
- Domain-knowledge enabled ensemble learning of 5-formylcytosine (f5C) modification sites.Computational and structural biotechnology journal · 2024Article
- Comprehensive Review and Assessment of Computational Methods for Prediction of N6-Methyladenosine Sites.Biology · 2024Review
- Bioinformatics for Inosine: Tools and Approaches to Trace This Elusive RNA Modification.Genes · 2024Review
- Review
- Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning.Briefings in bioinformatics · 2023Review
- Shining a spotlight on m6A and the vital role of RNA modification in endometrial cancer: a review.Frontiers in genetics · 2023Review
- Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning.International journal of molecular sciences · 2022Review
- EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.BMC bioinformatics · 2022Article
- Dynamic regulation and key roles of ribonucleic acid methylation.Frontiers in cellular neuroscience · 2022Review
- MTDeepM6A-2S: A two-stage multi-task deep learning method for predicting RNA N6-methyladenosine sites ofFrontiers in microbiology · 2022Article
- m6A-express: uncovering complex and condition-specific m6A regulation of gene expression.Nucleic acids research · 2021Article
- Genome-Wide Scanning of Potential Hotspots for Adenosine Methylation: A Potential Path to Neuronal Development.Life (Basel, Switzerland) · 2021Article
- Article
- Article
- Machine learning applications in RNA modification sites prediction.Computational and structural biotechnology journal · 2021Review
- A Census and Categorization Method of Epitranscriptomic Marks.International journal of molecular sciences · 2020Review
- Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networks.Frontiers in physics · 2020Article
- The potential role of RNA N6-methyladenosine in Cancer progression.Molecular cancer · 2020Review
- Emerging role of tumor-related functional peptides encoded by lncRNA and circRNA.Molecular cancer · 2020Review
- mFrontiers in cell and developmental biology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
N6-Methyladenosine (m6A) is the most common mRNA modification; it occurs in a wide range of taxon and is associated with many key biological processes. High-throughput experiments have identified m6A-peaks and sites across the transcriptome, but studies of m6A sites at the transcriptome-wide scale are limited to a few species and tissue types. Therefore, the computational prediction of mRNA m6A sites has become an important strategy. In this study, we integrated multiple features of mRNA (flanking sequences, local secondary structure information, and relative position information) and trained a SVM classifier to predict m6A sites in mammalian mRNA sequences. Our method achieves ideal performance in both cross-validation tests and rigorous independent dataset tests. The server also provides a comprehensive database of predicted transcriptome-wide m6A sites and curated m6A-seq peaks from the literature for both human and mouse, and these can be queried and visualized in a genome browser. The RNAMethPre web server provides a user-friendly tool for the prediction and query of mRNA m6A sites, which is freely accessible for public use at http://bioinfo.tsinghua.edu.cn/RNAMethPre/index.html.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.