bcbioRNASeq

R package for bcbio RNA-seq analysis.

Workflow paper

Steinbaugh MJ, Pantano L, Kirchner RD, Barrera V, Chapman BA, Piper ME, Mistry M, Khetani RS, Rutherford KD, Hoffman O, Hutchinson JN, Ho Sui SJ. (2018). bcbioRNASeq: R package for bcbio RNA-seq analysis. F1000Research 6:1976.

citation("bcbioRNASeq")

Installation

Bioconductor method

We recommend installing the package with BiocManager.

if (!require("BiocManager")) {
    install.packages("BiocManager")
}
BiocManager::install("remotes")
BiocManager::install("hbc/bcbioRNASeq")

For R < 3.5, BiocManager is not supported. Use BiocInstaller::biocLite() instead of BiocManager::install(). This requires sourcing the legacy Bioconductor biocLite.R script.

# try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")

conda method

Configure conda to use the bioconda channels.

conda config --add channels defaults
conda config --add channels bioconda
conda config --add channels conda-forge

To avoid version issues, your .condarc file should only contain the following channels, in this order:

channels:
  - conda-forge
  - bioconda
  - defaults

We recommend installing into a clean conda environment:

conda create --name r
conda activate r

Launch R and check that it is set up correctly with the capabilities() function. Note that X11 = TRUE is required for graphical output, and requires X11 forwarding over SSH.

Now you're ready to install r-bcbiornaseq.

conda install -c bioconda r-bcbiornaseq

Note that there is currently a bug with conda and libgfortran. You may need to install libgfortran-ng to get the bcbioRNASeq package to load in R.

conda install libgfortran-ng

Load bcbio RNA-seq data

library(bcbioRNASeq)
bcb <- bcbioRNASeq(
    uploadDir = "bcbio_rnaseq_run/final",
    interestingGroups = c("genotype", "treatment"),
    organism = "Homo sapiens"
)
saveData(bcb, dir = ".")

This will return a bcbioRNASeq object, which is an extension of the Bioconductor RangedSummarizedExperiment container class. Consult the bcbioRNASeq() constructor function documentation for detailed information on the supported parameters:

help(topic = "bcbioRNASeq", package = "bcbioRNASeq")

Sample metadata

When loading a bcbio RNA-seq run, the sample metadata will be imported automatically from the project-summary.yaml file in the final upload directory. If you notice any typos in your metadata after completing the run, these can be corrected by editing the YAML file. Alternatively, you can pass in a sample metadata file into bcbioRNASeq() using the sampleMetadataFile argument.

Metadata file example

The samples in the bcbio run must map to the description column. The values provided in description must be unique. These values will be sanitized into syntactically valid names (see help("makeNames", "basejump")), and assigned as the column names of the bcbioRNASeq object. The original values are stored as the sampleName column in colData(), and are used for all plotting functions.

description	genotype
sample1	wildtype
sample2	knockout
sample3	wildtype
sample4	knockout

R Markdown templates

This package provides multiple R Markdown templates, including quality control, differential expression using DESeq2, and functional enrichment analysis.

These are available in RStudio at File -> New File -> R Markdown... -> From Template.

Example reports

• Quality Control
• Differential Expression
• Functional Analysis

References

The papers and software cited in our workflows are available as a shared library on Paperpile.