gcta 1.93.2-foss-2019b

GCTA (Genome-wide Complex Trait Analysis) was originally designed to estimate the proportion of phenotypic variance explained by genome- or chromosome-wide SNPs for complex traits (the GREML method), and has subsequently extended for many other analyses to better understand the genetic architecture of complex traits.

Accessing gcta 1.93.2-foss-2019b

To load the module for gcta 1.93.2-foss-2019b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load gcta/1.93.2-foss-2019b

BEAR Apps Version

2019b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the gcta website.

Dependencies

This version of gcta has a direct dependency on: Boost/1.71.0-gompi-2019b Eigen/3.3.7 foss/2019b imkl/2019.5.281-gompi-2019b Spectra/0.9.0 SQLite/3.29.0-GCCcore-8.3.0 zlib/1.2.11-GCCcore-8.3.0 zstd/1.4.4-GCCcore-8.3.0

Last modified on 3rd July 2020