Metadata-Version: 2.3
Name: easyfinemap
Version: 0.4.7
Summary: user-friendly pipeline for GWAS fine-mapping.
License: MIT
Author: Jianhua Wang
Author-email: jianhua.mert@gmail.com
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: pathos (>=0.3.1,<0.4.0)
Requires-Dist: smunger (>=0.1.5,<0.2.0)
Requires-Dist: typer (>=0.7.0,<0.8.0)
Requires-Dist: urllib3 (==1.26.15)
Project-URL: Homepage, https://github.com/Jianhua-Wang/easy_finemap
Description-Content-Type: text/markdown

# easyfinemap


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A flexible framework for GWAS fine-mapping


* Documentation: <https://Jianhua-Wang.github.io/easyfinemap>
* GitHub: <https://github.com/Jianhua-Wang/easyfinemap>
* PyPI: <https://pypi.org/project/easyfinemap/>
* License: MIT


## Features
* Formatting of summary statistics using smunger.
* Fast extraction of summary statistics for fine-mapping using tabix/bgzip.
* Checking and formatting of LD reference.
* Representation of variants using Unique SNP ID.
* Support for identifying independent loci using three methods: distance, LD clumping, and conditional analysis.
* Fine-mapping without the need for LD reference.
* Support for four LD-based fine-mapping tools and function-based fine-mapping.
* Fine-mapping combined with conditional analysis.

<!-- ## Finemapping approaches
* LD-free
    * aBF
* LD-based
    * FINEMAP
    * CAVIARBF
    * PAINTOR -->
