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/ivgwca9x5l1i3z0x4jhb7fhxzayvlqb7-python2-fastlmm-0.2.21.drv | ||
mips64el-linux | /gnu/store/jjxn576dccjn8h2sz5wrap49b6mpiddz-python2-fastlmm-0.2.21.drv | ||
i686-linux | /gnu/store/8hzvxlvb8v2q87hqpqbz1rcgcyw1iazq-python2-fastlmm-0.2.21.drv | ||
armhf-linux | /gnu/store/vxibgamabzpb7j8cvm0zqk09dj5x785v-python2-fastlmm-0.2.21.drv | ||
aarch64-linux | /gnu/store/v8nvv357spnn270wdw4bbggymr9qd2wn-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) |