EVidenceModeler 1.1.1-GCCcore-8.3.0

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 1.1.1-GCCcore-8.3.0

To load the module for EVidenceModeler 1.1.1-GCCcore-8.3.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load EVidenceModeler/1.1.1-GCCcore-8.3.0

BEAR Apps Version

2021a

More Information

For more information visit the EVidenceModeler website.

Dependencies

This version of EVidenceModeler has a direct dependency on: GCCcore/8.3.0 Perl/5.30.0-GCCcore-8.3.0

Required By

This version of EVidenceModeler is a direct dependent of: funannotate/1.8.1-foss-2019b-Python-2.7.16 funannotate/1.8.1-foss-2019b-Python-3.7.4

Last modified on 12th October 2020