Skip to main content

Python reimplementation of RNAither adapted for high-throughput CRISPR screening analysis

Project description

pyRNAither

Python Version License: MIT Documentation Status Code style: black PyPI version

Python reimplementation of RNAither adapted for high-throughput CRISPR screening analysis

📖 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

pip install pyRNAither

From source

# 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.

🎯 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.

Basic Usage

import pyrnaither as prt

#load data

Example Analysis Pipeline

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 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.

Made with ❤️ by the pyRNAither Team

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyrnaither-0.0.2a0.tar.gz (31.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyrnaither-0.0.2a0-py3-none-any.whl (35.9 kB view details)

Uploaded Python 3

File details

Details for the file pyrnaither-0.0.2a0.tar.gz.

File metadata

  • Download URL: pyrnaither-0.0.2a0.tar.gz
  • Upload date:
  • Size: 31.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for pyrnaither-0.0.2a0.tar.gz
Algorithm Hash digest
SHA256 33c1b958b35844e846578776d9440883c4ab08667e585340554e342eb0cf0935
MD5 cb9e4786d78030d36576859f04e8a06d
BLAKE2b-256 d5b117016e053e40c4dbcb58e8ea84c816e144551444990ee0072132ec8a9699

See more details on using hashes here.

File details

Details for the file pyrnaither-0.0.2a0-py3-none-any.whl.

File metadata

  • Download URL: pyrnaither-0.0.2a0-py3-none-any.whl
  • Upload date:
  • Size: 35.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for pyrnaither-0.0.2a0-py3-none-any.whl
Algorithm Hash digest
SHA256 0b66238397de133d40648725ecd9c50b9b086a8815c03e69585c82937d9482d2
MD5 d2977268ec15b4eea86ca5dc74092e24
BLAKE2b-256 be5f13f1eb70a73dd7b2d82072244bf2b0aa6d58497a20426f08219914b16eec

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page