ArticleNature communications2025
G4mer: An RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Massively parallel characterization of RNA G-quadruplex stability and molecular recognition.Nucleic acids research · 2026Article
- MoRNiNG: A Database of RNA Modification Sites Associated with RNA Secondary Structure Dynamics.Genomics, proteomics & bioinformatics · 2026Article
- RNA G-quadruplexes mediate cooperativity in HNRNPH binding and splicing regulation.bioRxiv : the preprint server for biology · 2026Article
- G4mer: An RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data.Nature communications · 2025Article
- Machine learning-optimized targeted detection of alternative splicing.Nucleic acids research · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
RNA G-quadruplexes (rG4s) are key regulatory elements in gene expression, yet the effects of genetic variants on rG4 formation remain underexplored. Here, we introduce G4mer, an RNA language model that predicts rG4 formation, classifies rG4 subtypes, and evaluates the effects of genetic variants across the transcriptome. G4mer significantly improves accuracy over existing methods and uncovers subtype-specific differences in mutational sensitivity and evolutionary constraint, highlighting sequence length and flanking motifs as important rG4 features. Applying G4mer to
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