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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)