Metadata-Version: 2.1
Name: gwaslab
Version: 0.0.3
Summary: A collection of handy tools for GWAS
Home-page: https://github.com/Cloufield/gwaslab
Author: Yunye
Author-email: 610935659@qq.com
License: UNKNOWN
Project-URL: gwaslab, https://github.com/Cloufield/gwaslab
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
License-File: LICENSE

# gwaslab
A collection of handy python scripts for GWAS.

1. Manhattan plot
2. QQ plot
3. Calculate lamda GC
4. Select top SNPs based on a given window size.
5. Convert beta/se <-> OR/95%L_U/95%L_L
6. Select hapmap3 SNPs from sumstats
7. Convert Observed scale heritability to liability scale heritability 

Requirements:
1. Python>3
2. scipy
3. numpy
4. pandas
5. matplotlib
6. seaborn

Install:
```
pip install gwaslab
```
--

Usage:

```
import gwaslab as gl

gl.mplot(df,chr,pos,p,cut,cutfactor)

gl.qqplot()

gl.gc()

gl.getsig()
```


