Seq2squiggle

Latest version: v0.3.0

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0.3.0

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

0.2.0

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**: https://github.com/ZKI-PH-ImageAnalysis/seq2squiggle/compare/v0.1.0...v0.2.0

0.1.0

Initial release

Links

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Has known vulnerabilities

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