Perform genome-wide association studies on large data sets
FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed Models, is a program for performing both single-SNP and SNP-set genome-wide association studies (GWAS) on extremely large data sets.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/p36mr3ckpr46z1vmxx26d7z4l9z4cipw-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/hgdfkrfka120baj0p2ivvayjqx6ria03-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/b8d41nj37f35f49cphjl4yxk3bbqhy1z-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/inpqd8zhamjbncj40ia5absyp7b27h1w-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/hn5vsg01kych8ihbzgfc2bdjv7yphfz7-python2-fastlmm-0.2.21.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 997 is way too long (92 characters) |