Metadata-Version: 2.4
Name: pyRNAither
Version: 0.0.3
Summary: Python reimplementation of RNAither adapted for high-throughput CRISPR screening analysis
Author-email: Rahul Brahma <rahul.brahma@uni-greifswald.de>, Yasas Wijesekara <yasas.wijesekara@uni-greifswald.de>
License-Expression: LicenseRef-LICENSE
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=2.3.0
Requires-Dist: pandas>=2.3.0
Requires-Dist: matplotlib>=3.0
Requires-Dist: scipy>=1.4
Requires-Dist: scikit-learn
Requires-Dist: matplotlib-venn
Requires-Dist: statsmodels
Requires-Dist: sphinx>=8.2.3
Requires-Dist: sphinx-rtd-theme>=3.0.2
Requires-Dist: sphinx-autodoc-typehints>=3.2.0
Dynamic: license-file

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  # pyRNAither
  
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  **Python reimplementation of [RNAither](https://doi.org/10.1093/bioinformatics/btp014) adapted for high-throughput CRISPR screening analysis**
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## 📖 Overview

pyRNAither is a powerful Python package for analyzing high-throughput CRISPR screening data. It provides a comprehensive suite of tools for quality control, normalization, statistical analysis, and visualization of CRISPR screening results.

## ✨ Features

- **Data Processing**: Efficient handling of large-scale CRISPR screening data
- **Quality Control**: Comprehensive QC metrics and visualization
- **Normalization**: Multiple normalization methods for CRISPR data
- **Statistical Analysis**: Advanced statistical tests for hit identification
- **Visualization**: Publication-quality plots and interactive visualizations
- **Modular Design**: Easy to extend and customize for specific needs

## 🚀 Installation

### Using pip

```bash
pip install pyRNAither
```

### From source

```bash
# Clone the repository
git clone https://github.com/Takshan/pyRNAither.git
cd pyRNAither

# Install in development mode
pip install -e .
```

## 📚 Documentation

For detailed documentation, including API reference and examples, please visit our [documentation](https://takshan.github.io/pyRNAither/).

## 🎯 Quick Start

We are currently wokring on a quick start guide consisting of example analysis pipelines and a step-by-step guide to get started with pyRNAither. In the meantime, please refer to the [documentation](https://takshan.github.io/pyRNAither/).

### Basic Usage

```python
import pyrnaither as prt

#load data
```

### Example Analysis Pipeline

```python
import pyrnaither as prt
from pyrnaither import stats, visualization

# Load and preprocess data

```

## 📊 Example Plots

### Quality Control Metrics

### Volcano Plot

### Heatmap


## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## 📧 Contact

For questions or support, please contact:
- Rahul Brahma: rahul.brahma[at]uni-greifswald[dot]de
- Yasas Wijesekara: yasas.wijesekara[at]uni-greifswald[dot]de

## 📚 References

1. Rieber N, Knapp B, Eils R, Kaderali L. RNAither, an automated pipeline for the statistical analysis of high-throughput RNAi screens. Bioinformatics. 2009 Mar 1;25(5):678-9. doi: 10.1093/bioinformatics/btp014. Epub 2009 Jan 25. PMID: 19168909.


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  Made with ❤️ by the pyRNAither Team
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