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ZKI-PH-ImageAnalysis
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seq2squiggle
End-to-end simulation of nanopore sequencing signals with feed-forward transformers
MIT License
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v0.3.0 PR
#8
Closed
denisbeslic
closed
5 days ago
denisbeslic
commented
5 days ago
v0.3.0
New Features
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
Improvements:
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
v0.3.0
New Features
Improvements: