Journal: Bioinformatics
Article Title: Matrix eQTL: ultra fast eQTL analysis via large matrix operations
doi: 10.1093/bioinformatics/bts163
Figure Lengend Snippet: Estimated performance of various eQTL software on the CF dataset
Article Snippet: This did not allow us to make precise estimates of its performance, so we applied Matrix eQTL to the whole dataset and reported the performance in . table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Method\No. of covariates Zero Ten Plink 9.4 583.3 days Merlin 19.6 20.0 days R/qtl (Revolution R) 1.0 4.7 days snpMatrix 3.2 5.1 days eMap 17.8 N/A days FastMap 10.3 N/A hours Matrix eQTL (Matlab) 11.8 11.8 minutes Matrix eQTL (Revolution R) 14.6 14.6 minutes Matrix eQTL (R, Goto BLAS) 19.4 19.4 minutes Open in a separate window The time for all methods is projected from tests on a dataset with 2201 genes and 57 333 SNPs.
Techniques: Software