Learn how to get started with Genamap here.

Contact Us

Have a question about GenAMap? Email us at 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 and an active Github respository.
Google Group Source Code


GenAMap Web Application

Lengerich*, BJ, Wang*, H, Lee MK, Xing EP. 2016. GenAMap on the Web: Intuitive and Scalable Machine Learning for Structured Association Mapping (Abstract #1918W). Presented at the 66th Annual Meeting of The American Society of Human Genetics, October 19, 2016, Vancouver, BC.

GenAMap Desktop Application

Curtis RE, Goyal A, Xing EP. 2012. Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system. BMC Genetics 13:24.

Xing EP, Curtis RE, Schoenherr G, Lee S, Yin J, et al. (2014) GWAS in a Box: Statistical and Visual Analytics of Structured Associations via GenAMap. PLoS ONE 9(6): e97524. doi: 10.1371/journal.pone.0097524

Usage Example

Curtis RE, Yin J, Kinnaird P, Xing EP. 2012. Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap. Pacific Symposium on Biocomputing 17: 327-338.

Curtis RE, Kinnaird P, Xing EP. 2011. GenAMap: Visualization Strategies for Structured Association Mapping. IEEE Symposium on Biological Data Visualization 1: 87-95.

Curtis RE, Wenzel S, Meyers DA, Bleeker E, Xing EP. 2011. Population analysis of asthma genome-wide association data using GenAMap (Abstract #688T).Presented at the 12th International Congress of Human Genetics/61st Annual Meeting of The American Society of Human Genetics, October 13, 2011, Montreal, Canada.

Curtis RE, Xing EP. 2010. GenAMap: An integrated analytic and visualization software platform for structured GWA and eQTL Analysis; (Abstract #3111). Presented at the 60th Annual Meeting of The American Society of Human Genetics, November 5, 2010, Washington D.C.

GenAMap is a project of Sailing Lab at Carnegie Mellon University.