.. _backbone-label:

Redinet
==============================

Introduction
~~~~~~~~
REDInet is a Temporal Convolutional Network (TCN) based Python package, inspired by Google DeepMind's WaveNet, for detecting A-to-I RNA editing events in RNA sequencing experiments. It classifies A-to-G substitutions in RNAseq data as derived from A-to-I RNA editing or SNPs. REDInet runs on Tabix-indexed REDItools output tables.


| For more information, please check:
| Home page: https://github.com/BioinfoUNIBA/REDInet

.. 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)

  * - NEGISHI
    - 1.0.0

Commands
~~~~~~~
- REDInet_Inference.py
- REDInet_Inference_light_ver.py

Module
~~~~~~~~
You can load the modules by::

    module load biocontainers
    module load redinet

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 redinet 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=redinet
        #SBATCH --mail-type=FAIL,BEGIN,END
        #SBATCH --error=%x-%J-%u.err
        #SBATCH --output=%x-%J-%u.out

        module --force purge
        module biocontainers redinet

        # Your redinet 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=redinet
        #SBATCH --mail-type=FAIL,BEGIN,END
        #SBATCH --error=%x-%J-%u.err
        #SBATCH --output=%x-%J-%u.out

        module --force purge
        module biocontainers redinet

        # Your redinet 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=redinet
        #SBATCH --mail-type=FAIL,BEGIN,END
        #SBATCH --error=%x-%J-%u.err
        #SBATCH --output=%x-%J-%u.out

        module --force purge
        module biocontainers redinet

        # Your redinet 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=redinet
        #SBATCH --mail-type=FAIL,BEGIN,END
        #SBATCH --error=%x-%J-%u.err
        #SBATCH --output=%x-%J-%u.out

        module --force purge
        module biocontainers redinet

        # Your redinet 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=redinet
        #SBATCH --mail-type=FAIL,BEGIN,END
        #SBATCH --error=%x-%J-%u.err
        #SBATCH --output=%x-%J-%u.out

        module --force purge
        module biocontainers redinet

        # Your redinet workflow...