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/sg1lgsqj8ldf4nxq166kphh4q94hhkm3-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/57wbi8zyghq21d9gbjqg4hjrr19364p4-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/xi7laxq7n68ag5qfn7nm6cz444ihb42i-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/dkgqpgzyg4x8n8bsym8xk7sinjar2fb3-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/7dsdrfacpikxgsw3j3a98lbbjvml869r-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) |