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

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:

Anvil

#!/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...

Bell, Gautschi, or Negishi

#!/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...

Gautschi-AI

#!/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...

Gilbreth

#!/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...

Scholar

#!/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...