SOFT : DeepTMHMM
------

Site du soft: https://dtu.biolib.com/DeepTMHMM
-------------

LICENSE:
--------

Creative Commons Corporation (For non-commercial use cases)

See software documentation for more informations.

Location: /usr/local/bioinfo/src/DeepTMHMM
---------

Load binaries and environment:
------------------------------

-> Version v1.0.57


#Need Miniforge
module load devel/Miniforge/Miniforge3-init
module load bioinfo/DeepTMHMM/1.0.57

To unload module, unload  in order:

module unload bioinfo/DeepTMHMM/1.0.57
module unload devel/Miniforge/Miniforge3-init

#Need GPU. To submit on gpuq, see FAQ: https://vm-genoword.toulouse.inrae.fr/FAQ/faq/job-submission/#how-to-use-gpu-node -> How to use GPU node

Example directory for use on cluster:
-------------------------------------

/usr/local/bioinfo/src/DeepTMHMM/example_on_cluster

To submit: sbatch test_DeepTMHMM-v1.0.57.sh

WARNINGS:
=========
1) main program precict.py must be launched in its installation directory through python:
cd /usr/local/bioinfo/src/DeepTMHMM/DeepTMHMM-Academic-License-v1.0
python3 predict.py --fasta PATH_TO_YOUR_FASTA_FILE --output-dir PATH_TO_RESULTS_FOLDER
2) PATH_TO_RESULTS_FOLDER must not exist 

See software documentation and our FAQ (https://vm-genoword.toulouse.inrae.fr/FAQ) for more informations.