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/yk9kl5ailg19jxfiqbwq65x014kz106q-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/skz3yc7jaq3xg8q5ss382j2l3dix8j8x-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/fxvp9rv92vb3dsix84nvwwnyww65xj1a-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/rpmix4znrxcgkafbcn5n07x6g4pi9qzr-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/m69jz412jgix4fpvg7h86sikiqr9kxrv-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) |