Code

CWAS-Plus: A new version of Category-Wide Association Study

A new Python package runs category-wide association study with better user-interface. Now you can use this with pip install!

CWAS: Category-Wide Association Study

The Cython wrapper script runs category-wide association study presented in An et al. (2018) Science. This is an Amazon Machine Images (AMI) on Amazon Web Services (AWS) Cloud Computing Services.

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De novo Risk Score and Annotation Clustering

This repository contains R scripts for risk score analysis and annotation clustering in An et al. (2018) Science.

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CatBurden: Category-based burden test

The R/Python wrapper script includes commands for the category-based burden test and the first edition of CWAS in the Werling et al. (2018) Nature Genetics. The scripts and materials are distributed in AMI (ID: ami-1eefb064) and you can deploy the workflow using AWS. We recommend using the 100 Gib size EBS and the EC2 instance type m4.large or m4.xlarge.

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Hail tutorial (Korean)

우리말로 된 Hail 튜토리얼입니다.

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