metagraph 0.3.6-gfbf-2022b

The MetaGraph framework allows for indexing and analysis of very large biological sequence collection, producing compressed indexes that can represent several petabases of input data. The indexes can be efficiently queried with any query sequence of interest

Accessing metagraph 0.3.6-gfbf-2022b

To load the module for metagraph 0.3.6-gfbf-2022b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b
module load metagraph/0.3.6-gfbf-2022b

BEAR Apps Version

2022b

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.

Extensions

• metagraph 0.3.6

More Information

For more information visit the metagraph website.

Dependencies

This version of metagraph has a direct dependency on: Boost/1.81.0-GCC-12.2.0 gfbf/2022b HTSlib/1.17-GCC-12.2.0 jemalloc/5.3.0-GCCcore-12.2.0 JsonCpp/1.9.5-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0 SciPy-bundle/2023.02-gfbf-2022b sdsl-lite/2.1.1-GCC-12.2.0

Last modified on 22nd July 2024