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/c1paj4mjbcr3ld6gx69b8vfr1kcmifys-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/kvghmjjfydjlkdhyqjmx4swcrxq9l6ci-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/vh5idrgrh1nl0arilz4x4cj244lg73zk-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/cpkyf0yg6qgmxq95xi31k5psw4ky83kl-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/rbfhr1dmdf8dgkkpq26bb786c180n7n6-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) |