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
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...