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Dorado
High-performance, easy-to-use commandline basecaller for Nanopore data. Developer release for evaluation of new features. For information about the Dorado project, see https://github.com/nanoporetech/dorado.
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Dorado documentation
For more detailed advice, documentation and installation guides for DoradoVersion: 1.2.0
Release date: 10/21/2025
Approved use: For research use only
- Significant improvements to short read basecalling speed
- Better CPU performance in situations where Dorado is not GPU-bound
- Output and tag updates for consistency with Oxford Nanopore Output Specifications
- Skip secondary/supplementary records from input aligned BAM in Dorado aligner
- Allow per-barcode disabling of poly(A) estimation
- Move table is now emitted to FASTQ if --emit-moves is set
- Dorado basecaller will scale input data based on open_pore_level if present in POD5 files
- Support Dorado basecaller model discovery from --models-directory if a full model name is specified
- Enable automatic batch size selection in Dorado variant and polish
- Update to Torch 2.7.1 and switch to using shared Torch libraries
- Update POD5 library to 0.3.34
- Other bug fixes and improvements
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