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/w4khn1aimpkfzwxnlkdc15jicl6zjrpr-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/s4v4lx76brk72vp4db5pv22hl9wk7r9x-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/8802blrhhaf6vii4zk5synlyrim1vzv6-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/8ribbqdwbagwniadd853nga44cmlbyci-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/zfgnvbafkcjpn68h694f70dnjmrhsq2i-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) |