- Fixed installation issues.
- Updated DC2 neural network weights.
- Retrained with the updated dataset based on SamCC-Turbo labels.
- Faster inference time by applying SeqVec embeddings instead of psiblast profiles.
- Heptad register prediction (a and d core positions).
- No maximum sequence length limit.
- Convenient interface for using DeepCoil within python scripts.
- Automated peak detection for improved output readability.
- Simplified installation with pip.
Added output filtering options -min_residue_score and -min_segment_length.
Initial release - corresponds to the version presented in the original paper DOI:10.1093/bioinformatics/bty1062