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Software release 0.2.2 for Dorado

Version: 0.2.2

Release date: 4/6/2023

Features

  • Add V4.1 modified base models
  • Add ability to load POD5/FAST5 files recursively, remove the runners flag
  • Performance improvements to Stereo Basecalling with better batch size selection
  • Upgrade to Pod5 v0.1.13 which allows loading large files on vmem-limited systems
  • Incorporate improvements in Koi which give more predictive QV Scores
  • Upgrade to Torch 2.0 and Cuda 11.8
  • If a Stereo model is not available for duplex basecalling, it gets downloaded automatically
  • Use jemalloc to override allocator on Linux
  • Enable Stereo Duplex on M1
  • Make metal stereo conv1 kernel available
  • Make MetalModel capable of handling > 1 input channel (Required for Stereo Duplex)
  • Improve Dorado startup time when using POD5 files by getting ReadGroup information from metadata tables
  • Remove deprecated use of FindCUDA and show real location of found toolkit
  • Improvements to Mk1C performance
  • Add support for arbitrary messages in Dorado pipelines
  • Addition of a progress bar for basecalling
  • Refactoring of Dorado pipeline system to Add AsyncQueue and use it in ReadSink/Nodes
  • Add "cuda:auto" as alternative to "cuda:all" when selecting a compute accelerator device on CLI
  • Store reads raw data internally in fp16 format
  • Switch post-ScalerNode raw_data to float16

Fixes

  • Fix bug whereby the last read was ignored for read lists not terminated by a newline character
  • Fixes to dorado duplex basespace
  • Fix memory leak in getting read groups
  • Fix meaning of TLEN in SAM output
  • Fix issue which was occuring when a read had no mod base context hits

Last updated: 1/12/2026

Latest version: 1.3.1

Approved use: For research use only

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