easyGWAS
:: DESCRIPTION
easyGWAS is designed to be a central resource for the genetics community that frees the user from the tedious tasks of implementing statistical software and managing data and computing resources and that serves the community at large through easy data access, validation and reproduction of GWAS findings.
Advertisement
::DEVELOPER
Machine Learning and Computational Biology Research Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Web Browser
:: DOWNLOAD
NO
:: MORE INFORMATION
Citation
Dominik Grimm, Bastian Greshake, Stefan Kleeberger, Christoph Lippert, Oliver Stegle, Bernhard Sch?kopf, Detlef Weigel and Karsten Borgwardt:
easyGWAS: An integrated interspecies platform for performing genome-wide association studies,
arXiv preprint arXiv:1212.4788, 2012