GenAMap is an open-source platform for visual machine learning of genome-phenome associations.
The proliferation of genomic data has increased the usefulness of complex machine learning algorithms for the next generation of genome-wide association studies (GWAS). These methods effectively relate genetic polymorphisms with phenotypes, but they require algorithmic expertise to run code and domain expertise to analyze results. To overcome these challenges, the GenAMap software platform has been developed to provide an intuitive, visual interface for next-generation GWAS. The user experience is an intuitive web application with a focus on simplicity and ease of use. GenAMap is available to use at genamap.org. For use with private or large data, it is easy to set up on your own server with a simple Docker image for all dependencies. Please contact us with any questions.
To get started, see the docs, which include usage examples and development information.
Have a question about GenAMap? Email us at genamap.team@gmail.com. To help us to get to know you better, please provide your name and affiliation when requesting support. We also have a Google group for users.