CRISPRedict

CRISPRedict is an interpretable gRNA efficiency prediction model for CRISPR-Cas9 gene editing.

Requirements

The scripts are written in Python 3.7.12 (Anaconda version: 4.8.5) and run on Windows OS:

   Windows-10: 10.0.19041-SP0

• The versions of Python packages which we used are, specifically:

  Scikit-learn version: 1.0.1
  Statsmodels version: 0.10.2
  Scikit-learn Genetic version: 0.4.1
  Numpy version: 1.19.5
  Pandas version: 1.1.5
  Scipy version: 1.4.1
  XGB version: 0.90
  Matplotlib version: 3.2.2
  Seaborn version: 0.11.2
  Pingouin version: 0.3.12
  Notebook version: 6.4.5
  Xlrd version: 1.2.0

Content

• ./Data: the original and processed datasets that have been used in our analysis.
• ./Notebooks: Jupyter notebooks that can be used to reproduce our results and demonstrate their usage.
• ./Saved models: all the trained and re-trained models that we implemented in our study.
• ./Scripts: custom Python scripts to reproduce our analysis.

Citation

• Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, CRISPRedict: The case for simple and interpretable efficiency prediction for CRISPR-Cas9 gene editing, bioRxiv 2022.04.07.486362; https://doi.org/10.1101/2022.04.07.486362

• Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions, Nucleic Acids Research, 2022; https://doi.org/10.1093/nar/gkac466

Support

You can submit bug reports using the GitHub issue tracker. If you have any other questions, please contact us at [email protected]