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/3wdampl52xnbwf54581bhwgfkj6x25m0-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/x9qdb3cvg67flcfhkqyv36ggjm5dqa5p-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/ad36m3wqly1anvvz3sj6jkpkq6z2s8ha-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/k9wk0p1cmilcx16kj47ilm4n42ac6mfi-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/pxzacral91n1gpx493b395zal1hydb3b-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) |