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/pkdy1ifmbgif7m5sxdknyrgzxngqd5jb-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/bdfx27wc5y4xciaxzz3xd7whmbzggf47-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/1nfa70g6qi1p0d2klr4m950fva1n1vh0-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/ji6h2ys0s7qy744r3hwmnxzn5ykvbj43-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/3c5y4fqkqfg9lcgnwvhphis7ib0h48in-python2-fastlmm-0.2.21.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 1020 is way too long (92 characters) |