Cryptic Sequence Complexity Concept

Exploratory work on measures for epistatic and marginal sequence complexity.

Free software: MIT license

Installation

python3 -m pip install "git+https://github.com/mmore500/cryptic-sequence-concept.git#egg=knockem"

Citing

If cryptic-sequence contributes to a scientific publication, please cite it as

Matthew Andres Moreno. (2024). mmore500/cryptic-sequence-concept. Zenodo. https://doi.org/10.5281/zenodo.11401734

@software{moreno2024cryptic,
  author = {Matthew Andres Moreno},
  title = {mmore500/cryptic-sequence-concept},
  month = may,
  year = 2024,
  publisher = {Zenodo},
  doi = {10.5281/zenodo.11401734},
  url = {https://doi.org/10.5281/zenodo.11401734}
}

Consider also citing underlying statistical methodology,

Moreno, M. A. (2024). Methods to Estimate Cryptic Sequence Complexity. arXiv preprint arXiv:2404.10854. https://doi.org/10.48550/arXiv.2404.10854

@misc{moreno2024methods,
      title={Methods to Estimate Cryptic Sequence Complexity},
      author={Matthew Andres Moreno},
      year={2024},
      eprint={2404.10854},
      archivePrefix={arXiv},
      primaryClass={q-bio.PE},
      doi={10.48550/arXiv.2404.10854},
      url={https://doi.org/10.48550/arXiv.2404.10854},
}