NCIP/cagwas

Name: cagwas

Owner: National Cancer Informatics Program

Description: Cancer Genome-Wide Association Studies (caGWAS) allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes

Created: 2013-01-02 22:39:44.0

Updated: 2013-11-25 01:53:52.0

Pushed: 2013-05-06 17:53:23.0

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Size: 140936

Language: JavaScript

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README

Welcome to the caGWAS Project!

Cancer Genome-Wide Association Studies (caGWAS) allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes.New breakthroughs in SNP array technologies make it possible to genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) simultaneously, enabling whole genome association studies. Within the Clinical Genomic Object Model (CGOM), the caIntegrator team created a domain model for Whole Genome Association Study Analysis. CGOM-caGWAS is a semantically annotated domain model that captures associations between Study, Study Participant, Disease, SNP Association Analysis, SNP Population Frequency and SNP annotations.

caGWAS is developed in Java and requires Apache Ant for building.

caGWAS is distributed under the BSD 3-Clause License. Please see the NOTICE and LICENSE files for details.

You will find more details about caGWAS in the following links:

Please join us in further developing and improving caGWAS.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.