fastStructure 1.0-foss-2020a-Python-2.7.18

fastStructure is a fast algorithm for inferring population structure from large SNP genotype data. It is based on a variational Bayesian framework for posterior inference and is written in Python2.x.

Accessing fastStructure 1.0-foss-2020a-Python-2.7.18

To load the module for fastStructure 1.0-foss-2020a-Python-2.7.18 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load fastStructure/1.0-foss-2020a-Python-2.7.18

BEAR Apps Version

2020a

Architectures

EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR 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.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

More Information

For more information visit the fastStructure website.

Dependencies

This version of fastStructure has a direct dependency on: foss/2020a GSL/2.6-GCC-9.3.0 matplotlib/2.2.5-foss-2020a-Python-2.7.18 Python/2.7.18-GCCcore-9.3.0 SciPy-bundle/2020.03-foss-2020a-Python-2.7.18

Last modified on 17th June 2022