Explore double-stranded RNA structures across the human genome. dsRNAscan predicted 5,134,754 dsRNAs, mostly in repetitive and intergenic regions. Machine learning models trained on A-to-I editing and RNA structure-probing data identified ~2.4 million high-confidence predictions, which were enriched at dsRNA-binding protein binding sites.
dsRNA Browser
Interactive exploration of individual dsRNA structures with RNA structure probing data
Launch BrowserKey Findings
- 5,134,754 predicted dsRNAs across the human genome, mostly in repetitive and intergenic regions
- ~2.4 million high-confidence by machine-learning models trained on A-to-I editing and RNA structure-probing data, enriched at dsRNA-binding protein binding sites
- 1,591 conserved across vertebrates
- 769 sense–antisense gene pairs forming intermolecular dsRNAs (GFF3 download)
- Ratio of intermolecular to intramolecular dsRNA correlates with ADAR dependency across cancer cell lines
The full 5,134,754 dsRNAs in two main formats: Parquet for analysis, BEDPE for genomic overlap.
Browse all downloads — sequences companion, GFF3 browser tracks, IGV arcs, high-confidence subsets, per-model variants, BEDPE subsets, tabix indexes. →Parquet — for analysis
Every analytical column (except RNA sequence and predicted structure). Reads in seconds with pandas, polars, or DuckDB.
Download dsRNA_human_v1.parquet (325 MB) Column dictionary (TSV) › Recipes: pandas / polars / DuckDB ›BEDPE — for bedtools pipelines
Each dsRNA as two intervals (i-arm + j-arm). Built for bedtools pairtobed
— overlap with genes, exons, repeats, ChIP peaks, etc.
Read the Paper
dsRNAscan maps human dsRNAome, revealing conservation, intermolecular dsRNA, and correlates of ADAR dependency
Molecular Cell 86, 1–19 (October 15, 2026)
https://doi.org/10.1016/j.molcel.2026.08.001
Code: github.com/Bass-Lab/dsRNAscan
Cite as: Andrews, R.J. & Bass, B.L. dsRNAscan maps human dsRNAome, revealing conservation, intermolecular dsRNA, and correlates of ADAR dependency. Mol. Cell 86, 1–19 (2026). doi:10.1016/j.molcel.2026.08.001