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/x0lag9kfpcq7g4r99g8yh7fl09n3xbpv-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/hbdj8blw2agjbf2ciy4adhp3fb8mvfpa-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/iqn93vi0dksrxa97qpmvyrh0aj0n60hh-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/44b7z83niha7hwlkahzrvwa4fp9fwy3m-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/zi0szx0k9csvqaxljcwyr10x8pn8phya-python2-fastlmm-0.2.21.drv |
Linter | Message | Location |
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formatting Look for formatting issues in the source | line 993 is way too long (92 characters) |