ChromBPNet
Bias-corrected base-resolution deep learning models of ATAC/DNase-seq chromatin accessibility and TF motifs.
| Category | Genomics & DNA models |
|---|---|
| GitHub | kundajelab/chrombpnet |
| First public | 2023-01-25 (source) |
| Paper | https://doi.org/10.1101/2024.12.25.630221 |
| License | MIT |
| Pricing | Open source |
| Tags | #epigenomics#atac-seq#motifs |
| Last checked | 2026-10-16 |
Specs
| Input length / context | — |
|---|---|
| Resolution | Base resolution |
| Species | — |
| Tasks | Base-resolution accessibility; bias correction; variant effects |
| GitHub stars | 257 |
| Interface | Package, Docker |
Specs come from each project's README, paper or official page · ChromBPNet README · ChromBPNet paper. “—” means we couldn't verify it.
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