ReviewComputational and structural biotechnology journal2020
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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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
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Role of m5C methylation in digestive system tumors (Review).Molecular medicine reports · 2025Pooled it
- Nonenzymatic detection and imaging of m6A-methylated RNA via proximity hybridization-initiated hybridization chain reaction with site-specific recognition.Analytical and bioanalytical chemistry · 2026Article
- Sequence determinant and functional relevance of 8-oxoguanine RNA modification unveiled from foundation-model-based predictor.Molecular therapy. Nucleic acids · 2026Article
- m6AHD: a new framework for identifying abnormal N6-methyladenosine (m6A) in heart diseases based on sequencing features.Frontiers in genetics · 2026Article
- Article
- Prognostic analysis and risk assessment based on RNA editing in hepatocellular carcinoma.Journal of applied genetics · 2024Article
- Analysis of bacterial transcriptome and epitranscriptome using nanopore direct RNA sequencing.Nucleic acids research · 2024Article
- Transcriptomics and epigenetic data integration learning module on Google Cloud.Briefings in bioinformatics · 2024Article
- RNA methylation-related inhibitors: Biological basis and therapeutic potential for cancer therapy.Clinical and translational medicine · 2024Review
- Decoding epitranscriptomic regulation of viral infection: mapping of RNA NCellular & molecular biology letters · 2024Review
- An Overview of Current Detection Methods for RNA Methylation.International journal of molecular sciences · 2024Review
- MSCAN: multi-scale self- and cross-attention network for RNA methylation site prediction.BMC bioinformatics · 2024Article
- m7GRegpred: substrate prediction of N7-methylguanosine (m7G) writers and readers based on sequencing features.Frontiers in genetics · 2024Article
- Global hypermethylation of the N6-methyladenosine RNA modification associated with apple heterografting.Plant physiology · 2023Article
- The expanding role of RNA modifications in plant RNA polymerase II transcripts: highlights and perspectives.Journal of experimental botany · 2023Review
- m6A-TSHub: Unveiling the Context-specific mGenomics, proteomics & bioinformatics · 2023Article
- Article
- Concepts and methods for transcriptome-wide prediction of chemical messenger RNA modifications with machine learning.Briefings in bioinformatics · 2023Review
- Role of main RNA modifications in cancer: NSignal transduction and targeted therapy · 2022Review
- Article
Corrections and comments
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Post-transcriptional RNA modification occurs on all types of RNA and plays a vital role in regulating every aspect of RNA function. Thanks to the development of high-throughput sequencing technologies, transcriptome-wide profiling of RNA modifications has been made possible. With the accumulation of a large number of high-throughput datasets, bioinformatics approaches have become increasing critical for unraveling the epitranscriptome. We review here the recent progress in bioinformatics approaches for deciphering the epitranscriptomes, including epitranscriptome data analysis techniques, RNA modification databases, disease-association inference, general functional annotation, and studies on RNA modification site prediction. We also discuss the limitations of existing approaches and offer some future perspectives.
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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.