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/5b3h8y0d8562mvv7zpl53w8ilrqxxqcc-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/k1bdn7p66lwaprjwsf73aq5nx0k1is09-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/6l97salvm745adhr2w4s7wmb6kkn1ssl-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/ibbpy7bas6cplbkzkihd3fh2p6pd8ch7-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/kh31f2ynknk6l6q7a08sxrnzy0gcjxy3-python2-fastlmm-0.2.21.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 1015 is way too long (92 characters) |