This thesis focuses on the computational aspects of GWAS. We wish to show that large computing resources are not necessarily required in implementing genome-wide analyses.
In addition, one should keep in mind that a statistical analysis is usually conducted multiple times by a researcher before the final result is obtained.

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E.M.E.H. Lesaffre (Emmanuel) , A.G. Uitterliden , P.J.F. Groenen (Patrick)
Erasmus University Rotterdam
Erasmus MC: University Medical Center Rotterdam

Sikorska, K. (2014, September 24). Computationally Fast Approaches to Genome-Wide Association Studies. Retrieved from