Releases: ZKI-PH-ImageAnalysis/seq2squiggle
Releases · ZKI-PH-ImageAnalysis/seq2squiggle
v0.3.1
v0.3.0
v0.3.0 Release
Added
- Added latest R9.4.1 and R10.4.1 models
- Added Contributing Guide
- Advanced Parameters: Introduced a --show-advanced-options flag for experimental parameters in prediction mode.
- R9.4.1 Support: Added an R9.4.1 model and R9.4.1 profile for extended compatibility.
- Dwell Time Parameters: Added dwell-mean and dwell-std parameters for users preferring static distributions for dwell time generation.
- Model Download Simplification: Models can now be downloaded using the --profile argument, closes #7
Changed
- Noise Generation: Switched from NumPy to PyTorch for noise generation, ensuring consistent dependencies.
- Length Regulator: Fully transitioned to PyTorch, removing reliance on NumPy/Numba.
- Performance Boosts: Achieved small speedups by minimizing GPU-CPU data transfers and avoiding NumPy usage wherever possible.
- Preprocessing: Simplified preprocessing functions for improved maintainability.
- UUID Generation: Automatically generate a UUID4 in genome mode for unique identifiers and compability with dorado
v0.2.0
First PyPi release
Added
- function to automatically download the latest weights from GitHub
- __ version __ for version tracking
- version function to print the tool’s version
- Packaged the project with Poetry and prepared it for PyPI release
Changed
- Moved config.yaml to the src/ directory.
- Updated the README with the latest instructions and details
- Removed the wandb logger from the prediction process
Fixed
- Enabled prediction mode for CPU-only usage
Full Changelog: v0.1.0...v0.2.0
v0.1.0
v0.1.0 - 2024-08-13
Initial release