EVidenceModeler 2.1.0-GCCcore-11.3.0

The EVidenceModeler (aka EVM) software combines ab intio gene predictions and protein and transcript alignments into weighted consensus gene structures. EVM provides a flexible and intuitive framework for combining diverse evidence types into a single automated gene structure annotation system. Inputs to EVM include the genome sequence, gene predictions and alignment data in GFF3 format, and a list of numeric weight values to be applied to each type of evidence. The weights can be configured manually.

Accessing EVidenceModeler 2.1.0-GCCcore-11.3.0

To load the module for EVidenceModeler 2.1.0-GCCcore-11.3.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load EVidenceModeler/2.1.0-GCCcore-11.3.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — 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 EVidenceModeler website.

Dependencies

This version of EVidenceModeler has a direct dependency on: GCCcore/11.3.0 Perl/5.34.1-GCCcore-11.3.0

Required By

This version of EVidenceModeler is a direct dependent of: funannotate/1.8.17-foss-2022a

Other Versions

These versions of EVidenceModeler are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 12th August 2024