R-rnaseq

Introduction

R is a system for statistical computation and graphics. This is an r-ver:4.3.3 singularity image with RStudio and various R packages used in RNAseq analysis installed. RStudio is an integrated development environment (IDE) for the R statistical computation and graphics system. This is an RStudio IDE together with a plain R-base installation (see https://github.com/rocker-org/rocker/), repackaged by RCAC with an addition of a handful prerequisite libraries (libcurl, libopenssl, libxml2, libcairo2 libXt, etc.) and their header files. In this module, we have various relevant R packages installed, including: beachmat 2.18.1 BiocManager 1.30.22 cellranger 1.1.0 ComplexHeatmap 2.18.0 dbplyr 2.5.0 DESeq2 1.42.1 DEXSeq 1.48.0 dtplyr 1.3.1 edgeR 4.0.16 EnhancedVolcano 1.20.0 genefilter 1.84.0 geneplotter 1.80.0 GenomeInfoDb 1.38.8 GenomicAlignments 1.38.2 GenomicRanges 1.54.1 ggplot2 3.5.0 KEGGREST 1.42.0 limma 3.58.1 openxlsx 4.2.5.2 PCAtools 2.14.0 pheatmap 1.0.12 readr 2.1.5 readxl 1.4.3 Rsamtools 2.18.0 stringr 1.5.1 SummarizedExperiment 1.32.0 tibble 3.2.1 tidyr 1.3.1

For more information, please check:

Note

Please follow the recommended citation guidelines from the developers when you use the tool in research.

Versions

Cluster

Version(s)

ANVIL

4.1.1-1, 4.3.3-1-rstudio-2023.12.1

BELL

4.1.1-1, 4.3.3-1-rstudio-2023.12.1

GAUTSCHI

4.1.1-1, 4.3.3-1-rstudio-2023.12.1

NEGISHI

4.1.1-1, 4.3.3-1-rstudio-2023.12.1

SCHOLAR

4.1.1-1, 4.3.3-1-rstudio-2023.12.1

Commands

  • R

  • Rscript

Module

You can load the modules by:

module load biocontainers
module load r-rnaseq

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

module --force purge
module biocontainers r-rnaseq

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

module --force purge
module biocontainers r-rnaseq

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

module --force purge
module biocontainers r-rnaseq

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

module --force purge
module biocontainers r-rnaseq

# Your r-rnaseq workflow...
#!/bin/bash
#SBATCH -A queue     # Queue name
#SBATCH -t 1:00:00
#SBATCH -N 1
#SBATCH -n 1
#SBATCH --job-name=r-rnaseq
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out

module --force purge
module biocontainers r-rnaseq

# Your r-rnaseq workflow...