TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data

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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Publication Details

Journal
Genome biology
Published
2026-01-19
DOI
https://doi.org/10.1186/s13059-026-03941-2
Citations
1
Primary Topic
RNA regulation and disease
Type
article
Field-Weighted Citation Impact
22.24
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article

TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data

Oliver Siering, Christian K. Pfaller, Maike Herrmann, Csaba Miskey et al.
1 citations
Genome biology
RNA regulation and disease
22.24
article

TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data

Oliver Siering, Christian K. Pfaller, Maike Herrmann, Csaba Miskey, Yvonne Krebs, Francisco M. Acosta, Sebastian Parusel, Biruhalem Taye, Felix G. M. Andres
article en
1 citations

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.

Genome biologyVol. 27(1)
Mayo Clinic (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), Paul Ehrlich Institut (DE)
Openalex Percentile: Top 2%
RNA regulation and disease
22.24
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TSniffer: unbiased de novo identification of RNA editing sites and quantification of editing activity in RNA-seq data — Oliver Siering, Christian K. Pfaller, et al. · Genome biology (2026) | TGRS Research Map | TGRS