Metadata-Version: 2.1
Name: ieugwaspy
Version: 0.1.7
Summary: Python interface to IEU GWAS database API
Home-page: https://mrcieu.github.io/ieugwaspy/
Author: Tom Gaunt
Author-email: tom@biocompute.org.uk
License: UNKNOWN
Description: # Perform fast queries in Python against a massive database of complete GWAS summary data
        
        [![Actions Status](https://github.com/MRCIEU/ieugwaspy/workflows/ieugwaspy_test/badge.svg)](https://github.com/MRCIEU/ieugwaspy/actions)
        
        The [IEU GWAS database](https://gwas.mrcieu.ac.uk/) comprises over 10,000 curated, QC'd and harmonised complete GWAS summary datasets and can be queried using an API. See [here](http://gwasapi.mrcieu.ac.uk/docs/) for documentation on the API itself. This Python package package is a wrapper to make generic calls to the API, plus convenience functions for specific queries.
        
        [See ieugwaspy documentation](https://mrcieu.github.io/ieugwaspy/) for details of how to use this package.
        
        ### Installation:
        
        Install using ```pip install ieugwaspy```
        
        ### Features:
        
        - Get meta data about specific or all studies
        - Obtain the top hits (with on the fly clumping as an option) from each of the GWAS datasets. Clumping and significance thresholds can be specified
        - Obtain the summary results of specific variants across specific studies. LD-proxy lookups are performed automatically if a specific variant is absent from a study
        - Perform PheWAS (look up all associations for a variant)
        - Convert between chromosome:position and rsids and getting annotations
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
