Data and code underlying the publication: X-CRISP: Domain-Adaptable and Interpretable CRISPR Repair Outcome Prediction

DOI:10.4121/709d3d46-3d48-478c-a246-970fe325e236.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/709d3d46-3d48-478c-a246-970fe325e236
Datacite citation style:
Seale, Colm; Gonçalves, Joana (2025): Data and code underlying the publication: X-CRISP: Domain-Adaptable and Interpretable CRISPR Repair Outcome Prediction. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/709d3d46-3d48-478c-a246-970fe325e236.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This repository consists of code to reproduce the results of the paper "X-CRISP: Domain-Adaptable and Interpretable CRISPR Repair Outcome Prediction".


The code to reproduce the paper is shared at: https://github.com/joanagoncalveslab/xcrisp


No experimental data was collected as part of this project, this project only utilised previously publicly available datasets. Details on accessing this data is fully described in Methods Section; "Data and preprocessing" of the published article.


History

  • 2025-02-18 first online, published, posted

Publisher

4TU.ResearchData

Format

Python scripts, slurm batch scripts, apptainer definition and build files, and configuration files for reproducing paper figures.

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Pattern Recognition & Bioinformatics