Genome-wide precomputed Pythia predictions for CRISPR-Cas9 3′-tagging — Xenopus tropicalis
Pythia is a tool for designing CRISPR-Cas9 knock-in strategies for endogenous C-terminal protein tagging, which ranks candidate sgRNA/repair-template combinations based on predicted editing outcomes. This dataset contai
Pythia is a tool for designing CRISPR-Cas9 knock-in strategies for endogenous C-terminal protein tagging, which ranks candidate sgRNA/repair-template combinations based on predicted editing outcomes. This dataset contains precomputed Pythia predictions across all annotated protein-coding genes in the Xenopus tropicalis genome, allowing users to query tagging strategies for any gene of interest without re-running the full prediction pipeline locally.
Companion datasets are available on Zenodo for Homo sapiens (exonic and intronic) and Mus musculus.
Source code and documentation: https://github.com/XenoThomasNaert/Pythia_Webtool
Associated publication: Naert et al. Nature Biotechnology (2025), doi:10.1038/s41587-025-02771-0. A companion protocol paper is currently under revision; this record will be updated upon acceptance.
Please cite the associated publication when using this dataset.
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Files are hosted on the source repository. Click download to access the full dataset.