ArticleGenome biology2019
RADAR: differential analysis of MeRIP-seq data with a random effect model.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
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- The AHCY-adenosine complex rewires mRNA methylation to enhance fatty acid biosynthesis and tumorigenesis.Cell research · 2026Article
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- Epstein-Barr Virus Promotes Gastric Cancer Progression by Modulating m6A-Dependent YTHDF1-TSC22D1 Axis.Microorganisms · 2025Article
- Global mapping of RNA NBiomarker research · 2025Article
- mAmerican journal of physiology. Gastrointestinal and liver physiology · 2025Article
- NBMC medical genomics · 2025Article
- Machine learning-augmented m6A-Seq analysis without a reference genome.Briefings in bioinformatics · 2025Article
- The landscape of NNature genetics · 2025Article
- Genome-wide profiling of N6-methyladenosine-modified pseudogene-derived long noncoding RNAs reveals the tumour-promoting and innate immune-restraining function of RPS15AP12 in ovarian cancer.Clinical and translational medicine · 2025Article
- Divergent roles of mNature communications · 2025Article
- Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome.Computational and structural biotechnology journal · 2025Article
- Hypoxic stabilization of RIPOR3 mRNA via METTL3-mediated mOncogene · 2024Article
- A multiomics approach reveals RNA dynamics promote cellular sensitivity to DNA hypomethylation.Scientific reports · 2024Article
- Pan-cancer Analysis Reveals m6A Variation and Cell-specific Regulatory Network in Different Cancer Types.Genomics, proteomics & bioinformatics · 2024Article
- mCell metabolism · 2024Article
- Small-molecule inhibition of the METTL3/METTL14 complex suppresses neuroblastoma tumor growth and promotes differentiation.Cell reports · 2024Article
- Cell type-specific regulation of mAging cell · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Epitranscriptome profiling using MeRIP-seq is a powerful technique for in vivo functional studies of reversible RNA modifications. We develop RADAR, a comprehensive analytical tool for detecting differentially methylated loci in MeRIP-seq data. RADAR enables accurate identification of altered methylation sites by accommodating variability of pre-immunoprecipitation expression level and post-immunoprecipitation count using different strategies. In addition, it is compatible with complex study design when covariates need to be incorporated in the analysis. Through simulation and real dataset analyses, we show that RADAR leads to more accurate and reproducible differential methylation analysis results than alternatives, which is available at https://github.com/scottzijiezhang/RADAR.
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Registered trials
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