Fig. 2. In adaptive permutation, the pool of candidate SNPs decreases as p-value estimates become more precise. Running time increases with the number.

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Fig. 2. In adaptive permutation, the pool of candidate SNPs decreases as p-value estimates become more precise. Running time increases with the number of permutations but is substantially faster than in exhaustive permutation From: BlueSNP: R package for highly scalable genome-wide association studies using Hadoop clusters Bioinformatics. 2012;29(1):135-136. doi:10.1093/bioinformatics/bts647 Bioinformatics | © The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Fig. 1. BlueSNP builds upon packages and frameworks for parallel programming and big-data analytics From: BlueSNP: R package for highly scalable genome-wide association studies using Hadoop clusters Bioinformatics. 2012;29(1):135-136. doi:10.1093/bioinformatics/bts647 Bioinformatics | © The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com