Dominik Grimm contributed to a new book chapter introducing state-of-the-art methods and tools in genome-wide association studies together with Anja Gumpinger, Damian Roqueiro and Karsten Borgwardt from the Machine Learning and Computational Biology Lab  at ETH Zürich.
The chapter introduces different state-of-the-art statistical models and methods that are widely used by researches for performing, analysing und visualising genome-wide association studies (GWAS).
The work is part of the Springer Protocols Series and was published in the book:
Stechow L., Santos Delgado A. 2018: “Computational Cell Biology”. Methods in Molecular Biology, vol 1819. Humana Press, New York, NY 2018.
More information can be found on the official project page .
Gumpinger A.C., Roqueiro D., Grimm D.G., Borgwardt K.M. (2018) Methods and Tools in Genome-wide Association Studies. In: von Stechow L., Santos Delgado A. (eds) Computational Cell Biology. Methods in Molecular Biology, vol 1819. Humana Press, New York, NY (Link to full-text )