ArticleGenome biology2026
TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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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Who cites it
3 citing papers in PubMed.
- RNA modifications and cancer ferroptosis.Cancer cell international · 2026Review
- TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data.Genome biology · 2026Article
- Leveraging genetics to understand ADAR1-mediated RNA editing in health and disease.Nature reviews. Genetics · 2025Review
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Authors and funding
9 authors.
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Abstract
RNA editing by adenosine deaminases acting on RNA (ADARs) is an essential cellular process performed by three enzymes in mammals: ADAR1-p150, ADAR1-p110, and ADAR2, demonstrating different target specificity and selectivity. Here we describe TSniffer, a novel tool to analyze RNA editing in RNA-sequencing datasets. TSniffer uses a rolling window approach to identify editing sites and operates in two modes allowing identification and quantification in single samples, and quantification in predefined regions across multiple datasets. Using wild type and ADAR-deficient datasets, we provide strategies for identification of ADAR editing sites and verify the accuracy and biological relevance of our findings.
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Registered trials
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