Metadata-Version: 2.4
Name: cgatcore
Version: 0.6.22
Summary: cgatcore: the Computational Genomics Analysis Toolkit
Author-email: Adam Cribbs <adam.cribbs@ndorms.ox.ac.uk>
License: MIT
Project-URL: Documentation, https://github.com/cgat-developers/cgat-core
Project-URL: Source, https://github.com/cgat-developers/cgat-core
Project-URL: Tracker, https://github.com/cgat-developers/cgat-core/issues
Project-URL: Homepage, https://github.com/cgat-developers/cgat-core
Keywords: computational genomics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: testing
Requires-Dist: pytest; extra == "testing"
Dynamic: license-file

# CGAT-core

[![codecov](https://codecov.io/gh/cgat-developers/cgat-core/branch/main/graph/badge.svg)](https://codecov.io/gh/cgat-developers/cgat-core)

![CGAT-core](https://github.com/cgat-developers/cgat-core/blob/master/docs/img/CGAT_logo.png)
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![Licence](https://img.shields.io/github/license/cgat-developers/cgat-core.svg)
![Conda](https://img.shields.io/conda/v/bioconda/cgatcore.svg)
![Build Status](https://github.com/cgat-developers/cgat-core/actions/workflows/cgatcore_python.yml/badge.svg)


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CGAT-core is a workflow management system that allows users to quickly and reproducibly build scalable
data analysis pipelines. CGAT-core is a set of libraries and helper functions used to enable researchers
to design and build computational workflows for the analysis of large-scale data-analysis. 

Documentation for CGAT-core can be accessed [here](https://cgat-developers.github.io/cgat-core/) 

CGAT-core is open-sourced, powerful and user-friendly, and has been continually developed 
as a Next Generation Sequencing (NGS) workflow management system over the past 10 years.


Installation
============

The following sections describe how to install the [cgatcore](https://cgat-developers.github.io/cgat-core/) framework. 

The preferred method to install the cgatcore is using conda, by following the instructions on [read the docs](https://cgat-core.readthedocs.io/en/latest/getting_started/Installation.html). However, there are a few other methods to install cgatcore, including pip and our own bash script installer.
