Comparing Cas Activities by Target Superimposition (CATS)
CATS is a bioinformatic tool designed to automate the detection of overlapping PAM sequences and identify allele-specific targets resulting from pathogenic mutations. It offers both a command-line interface (CLI) and a graphical user interface (GUI) to cater to different usage preferences. For further details, see the associated publication: CATS: A Bioinformatic Tool for Automated Cas9 Nucleases activity comparison in clinically relevant contexts.
Table of Contents
Installation
CLI installation
CATS is published on PyPI. Install it with pip:
pip install crispr-cats
This installs the CATS and CATS-converter commands. To also install the GUI (CATS-gui command), include the [gui] extra:
pip install 'crispr-cats[gui]'
GUI installation
Install the GUI extra and launch the graphical interface with:
pip install 'crispr-cats[gui]'
CATS-gui
Pre-built standalone bundles are also available on the releases page.
NOTE for macOS users (standalone bundle only):
After downloading and unzipping the CATS folder, you may need to run the following command in your terminal to ensure the application runs correctly:
xattr -dr com.apple.quarantine <dir>/CATS/
or
find <dir>/CATS/ -exec xattr -d com.apple.quarantine {} \;
Replace <dir> with the full path to the directory containing the unzipped CATS folder.
Only run this command once, after you have downloaded and unzipped the folder and before launching the GUI.
Usage
Once installed, you can either use the CLI or launch the GUI.
CLI Usage
To launch the CATS CLI and show the help message with all the possible flags and parameters, run:
CATS --help
which will show this message:
usage: CATS [-h] --fasta FASTA_FILE --seq1 SEQ1 [--seq2 SEQ2] --output OUTPUT [--window-size WINDOW_SIZE] [--num-bases NUM_BASES] [--gtf GTF_FILE] [--pathogenicity] [--single-nucleotide-variant] [--gene-list GENE_LIST] [--variant-window VARIANT_WINDOW]
Parse a FASTA file and find sequences containing one (or two) specified sequences of interest.
options:
-h, --help show this help message and exit
--fasta FASTA_FILE, -f FASTA_FILE
Path to the FASTA file or use 'human', 'mouse', 'human_pc' or 'mouse_pc' keyword to access corresponding transcripts.
--seq1 SEQ1, -1 SEQ1 First sequence of interest.
--seq2 SEQ2, -2 SEQ2 (Optional) Second sequence of interest. If omitted, only seq1 will be searched.
--output OUTPUT, -o OUTPUT
Output file name. Possible extensions: 'csv', 'tsv', 'bed'.
--window-size WINDOW_SIZE, -w WINDOW_SIZE
Size of the window around the sequences (for double-sequence mode). Default is 5.
--num-bases NUM_BASES, -n NUM_BASES
Number of preceding and subsequent bases for each output sequence. Default is 25.
--gtf GTF_FILE, -g GTF_FILE
Path to the GTF file for annotation.
--pathogenicity, -p Retrieve only sequences containing potentially pathogenic variants (ClinVar).
--single-nucleotide-variant, -snv
Retrieve only sequences associated with SNVs from ClinVar. Implies --pathogenicity.
--gene-list GENE_LIST, -gl GENE_LIST
Path to a txt file containing a list of gene names to be analyzed, OR a semicolon-separated list of gene names (e.g. 'HBB;HTT').
--variant-window VARIANT_WINDOW, -vw VARIANT_WINDOW
Maximum distance between the mutation and the found PAM sequence. Implies --pathogenicity.
CATS-converter
The CATS-converter command-line tool allows you to convert files between bed and csv formats, without needing to rerun the main CATS workflow.
CATS-converter <path/to/file.(csv|bed)>
GUI Usage
Run CATS-gui from your terminal (or launch the executable from the standalone bundle). Once launched, the following window will appear:
A detailed documentation can be found in the fourth and last tab (Docs).
For further reference, consult the publication: CATS: A Bioinformatic Tool for Automated Cas9 Nucleases activity comparison in clinically relevant contexts.
Contributing
Pull requests, bug reports, and feature ideas are welcome: feel free to open a PR!
License
This project is licensed under the MIT License - see the LICENSE file for details.
Citation
Please cite our work if you use CATS in your research:
@article{Rocchi2025CATS,
author = {Rocchi, Ettore and Magnani, Federico and Castellani, Gastone and Carusillo, Antonio and Tarozzi, Martina},
title = {{CATS}: A Bioinformatic Tool for Automated Cas9 Nucleases Activity Comparison in Clinically Relevant Contexts},
journal = {Frontiers in Genome Editing},
volume = {7},
number = {Tools and Mechanisms},
pages = {1571023},
year = {2025},
doi = {10.3389/fgeed.2025.1571023},
url = {https://doi.org/10.3389/fgeed.2025.1571023}
}
Release files for crispr-cats 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| crispr_cats-0.1.0.tar.gz | 416.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| crispr_cats-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 832.5 kB
Release files / crispr_cats-0.1.0.tar.gz
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