https://github.com/adelia567/crispr
Crispr is a web app that simplifies the design and analysis of CRISPR guide RNAs, making it accessible for everyone. 🧬 With features like off-target scanning and AI reporting, users can quickly generate and evaluate their gRNA options. 🐙
https://github.com/adelia567/crispr
amplicon-sequences awesome bioconductor-package bioinformatics cas crispr-analysis crispr-cas-systems crispr-subtypes grna grna-sequence nf-core ngs pipeline python quantification sanger sgrna-design workflow
Last synced: 7 months ago
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Crispr is a web app that simplifies the design and analysis of CRISPR guide RNAs, making it accessible for everyone. 🧬 With features like off-target scanning and AI reporting, users can quickly generate and evaluate their gRNA options. 🐙
- Host: GitHub
- URL: https://github.com/adelia567/crispr
- Owner: Adelia567
- License: apache-2.0
- Created: 2025-06-12T04:51:29.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-06-26T10:36:12.000Z (7 months ago)
- Last Synced: 2025-06-26T11:42:04.131Z (7 months ago)
- Topics: amplicon-sequences, awesome, bioconductor-package, bioinformatics, cas, crispr-analysis, crispr-cas-systems, crispr-subtypes, grna, grna-sequence, nf-core, ngs, pipeline, python, quantification, sanger, sgrna-design, workflow
- Language: Python
- Size: 158 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Crispr: AI-Powered CRISPR gRNA Design and Analysis 🌱🧬
Welcome to the **Crispr** repository! This project aims to accelerate DNA gene editing projects through intuitive, AI-powered design and analysis of CRISPR gRNA. Whether you're a researcher, student, or hobbyist, this tool simplifies the complexities of gene editing, allowing you to focus on what matters most—your research.
## Table of Contents
1. [Introduction](#introduction)
2. [Features](#features)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Technologies Used](#technologies-used)
6. [Contributing](#contributing)
7. [License](#license)
8. [Releases](#releases)
9. [Contact](#contact)
## Introduction
CRISPR technology has revolutionized genetic engineering. With our tool, you can design guide RNAs (gRNAs) quickly and efficiently. The AI-powered features analyze DNA sequences and suggest optimal gRNA candidates, making the process more straightforward than ever.
To get started, visit our [Releases](https://github.com/Adelia567/Crispr/releases) section to download the latest version of the tool.
## Features
- **AI-Powered gRNA Design**: Our intelligent algorithms suggest the best gRNA sequences based on your input DNA.
- **User-Friendly Interface**: Built with Streamlit, the app offers an intuitive web interface for easy navigation.
- **Comprehensive Analysis**: Evaluate the effectiveness of your gRNA with built-in analytical tools.
- **Customizable Options**: Tailor the gRNA design parameters to fit your specific project needs.
- **Guide RNA Library**: Access a curated library of pre-designed gRNAs for common genes.
## Installation
To set up the Crispr tool, follow these steps:
1. **Clone the Repository**:
```bash
git clone https://github.com/Adelia567/Crispr.git
```
2. **Navigate to the Directory**:
```bash
cd Crispr
```
3. **Install Dependencies**:
Use pip to install the required packages:
```bash
pip install -r requirements.txt
```
4. **Run the Application**:
Start the Streamlit app with:
```bash
streamlit run app.py
```
## Usage
Once the application is running, follow these steps to design your gRNA:
1. **Input DNA Sequence**: Paste your target DNA sequence into the designated field.
2. **Select Parameters**: Adjust any optional parameters for gRNA design.
3. **Analyze Results**: Click the 'Design gRNA' button to generate suggestions.
4. **Review Suggestions**: The tool will display the recommended gRNAs along with their scores and potential off-target effects.
For detailed instructions and examples, check the user guide included in the repository.
## Technologies Used
- **Python**: The primary programming language for the application.
- **Streamlit**: A powerful library for building web applications.
- **Biopython**: For handling biological data.
- **NumPy and Pandas**: For data manipulation and analysis.
- **SciPy**: For scientific computations.
## Contributing
We welcome contributions from the community! If you want to help improve Crispr, follow these steps:
1. **Fork the Repository**: Create your own copy of the project.
2. **Create a New Branch**: Work on your feature or bug fix in a separate branch.
```bash
git checkout -b feature-name
```
3. **Commit Your Changes**: Make sure to write clear commit messages.
```bash
git commit -m "Add new feature"
```
4. **Push to Your Fork**: Send your changes to your GitHub repository.
```bash
git push origin feature-name
```
5. **Create a Pull Request**: Submit your changes for review.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Releases
For the latest updates and versions, visit our [Releases](https://github.com/Adelia567/Crispr/releases) section. Download the latest release and follow the installation instructions to get started.
## Contact
For questions, suggestions, or issues, please open an issue in the repository or contact the maintainers:
- **Adelia**: [Adelia567](https://github.com/Adelia567)
---
Thank you for your interest in Crispr! We hope this tool helps you in your gene editing projects. Your feedback is invaluable, and we look forward to your contributions!