Gemoma
Introduction
Gene Model Mapper (GeMoMa) is a homology-based gene prediction program. GeMoMa uses the annotation of protein-coding genes in a reference genome to infer the annotation of protein-coding genes in a target genome. Thereby, GeMoMa utilizes amino acid sequence and intron position conservation. In addition, GeMoMa allows to incorporate RNA-seq evidence for splice site prediction.
Note
Please follow the recommended citation guidelines from the developers when you use the tool in research.
Versions
Cluster |
Version(s) |
|---|---|
ANVIL |
1.7.1, 1.9 |
BELL |
1.7.1 |
GAUTSCHI |
1.7.1 |
NEGISHI |
1.7.1, 1.9 |
SCHOLAR |
1.7.1 |
Commands
GeMoMa
Module
You can load the modules by:
module load biocontainers
module load gemoma
Example job
Warning
Using #!/bin/sh -l as shebang in the slurm job script will cause the failure of some biocontainer modules. Please use #!/bin/bash instead.
To run gemoma on our clusters:
#!/bin/bash
#SBATCH -A myallocation # Allocation name
#SBATCH -p wholenode # Partition name
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=gemoma
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
module biocontainers gemoma
# Your gemoma workflow...
#!/bin/bash
#SBATCH -A mygroup # Group name
#SBATCH -p cpu # Partition name
#SBATCH -q normal # QOS name (optional)
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=gemoma
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
module biocontainers gemoma
# Your gemoma workflow...
#!/bin/bash
#SBATCH -A mygroup # Group name
#SBATCH -p ai # Partition name
#SBATCH --gres=gpu:1 # Number of GPUs
#SBATCH -q normal # QOS name (optional)
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=gemoma
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
module biocontainers gemoma
# Your gemoma workflow...
#!/bin/bash
#SBATCH -A mygroup # Group name
#SBATCH -p a100 # Partition name
#SBATCH --gres=gpu:1 # Number of GPUs
#SBATCH --mem=2G # Memory
#SBATCH -q normal # QOS name (optional)
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=gemoma
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
module biocontainers gemoma
# Your gemoma workflow...
#!/bin/bash
#SBATCH -A queue # Queue name
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=gemoma
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out
module --force purge
module biocontainers gemoma
# Your gemoma workflow...