Deprecated: Use of this version of EVidenceModeler is deprecated. More information on our Applications Support and Retention Policy.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
For more information visit the EVidenceModeler website.
This version of EVidenceModeler has a direct dependency on: GCCcore/8.3.0 Perl/5.30.0-GCCcore-8.3.0
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