  Motivation: The rapid growth in genome-wide association studies (GWAS) in
plants and animals has brought about the need for a central resource that
facilitates i) performing GWAS, ii) accessing data and results of other GWAS,
and iii) enabling all users regardless of their background to exploit the
latest statistical techniques without having to manage complex software and
computing resources.
  Results: We present easyGWAS, a web platform that provides methods, tools and
dynamic visualizations to perform and analyze GWAS. In addition, easyGWAS makes
it simple to reproduce results of others, validate findings, and access larger
sample sizes through merging of public datasets.
  Availability: Detailed method and data descriptions as well as tutorials are
available in the supplementary materials. easyGWAS is available at
http://easygwas.tuebingen.mpg.de/.
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