.. _backbone-label: Arboreto ============================== Introduction ~~~~~~~~ Arboreto is a package for scalable gene regulatory network inference using tree-based ensemble regressors. | For more information, please check: | BioContainers: https://biocontainers.pro/tools/arboreto | Home page: https://github.com/tmoerman/arboreto .. note:: Please follow the recommended citation guidelines from the developers when you use the tool in research. Versions ~~~~~~~ .. list-table:: :width: 100 % :widths: 25 75 :header-rows: 1 * - Cluster - Version(s) * - ANVIL - 0.1.6-py * - BELL - 0.1.6-py * - GAUTSCHI - 0.1.6-py * - NEGISHI - 0.1.6-py Commands ~~~~~~~ - easy_install - f2py - f2py3 - idle3 - pip - pip3 - pydoc - pydoc3 - python - python3 - python3-config - python3.9 - python3.9-config - wheel Module ~~~~~~~~ You can load the modules by:: module load biocontainers module load arboreto 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 arboreto on our clusters: .. tab-set:: .. tab-item:: Anvil .. code-block:: bash #!/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=arboreto #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers arboreto # Your arboreto workflow... .. tab-item:: Bell, Gautschi, or Negishi .. code-block:: bash #!/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=arboreto #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers arboreto # Your arboreto workflow... .. tab-item:: Gautschi-AI .. code-block:: bash #!/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=arboreto #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers arboreto # Your arboreto workflow... .. tab-item:: Gilbreth .. code-block:: bash #!/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=arboreto #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers arboreto # Your arboreto workflow... .. tab-item:: Scholar .. code-block:: bash #!/bin/bash #SBATCH -A queue # Queue name #SBATCH -t 1:00:00 #SBATCH -N 1 #SBATCH -n 1 #SBATCH --job-name=arboreto #SBATCH --mail-type=FAIL,BEGIN,END #SBATCH --error=%x-%J-%u.err #SBATCH --output=%x-%J-%u.out module --force purge module biocontainers arboreto # Your arboreto workflow...