Name Mode Size
..
AllClasses.Rd 100644 7 kb
Rcwl-package.Rd 100644 0 kb
addMeta.Rd 100644 3 kb
cwl-requirements.Rd 100644 8 kb
cwlProcess-methods.Rd 100644 3 kb
cwlProcess.Rd 100644 2 kb
cwlShiny.Rd 100644 1 kb
cwlStep.Rd 100644 2 kb
cwlWorkflow-methods.Rd 100644 0 kb
cwlWorkflow.Rd 100644 3 kb
env_Rcwl.Rd 100644 0 kb
install_cwltool.Rd 100644 0 kb
install_udocker.Rd 100644 0 kb
plotCWL.Rd 100644 1 kb
readCWL.Rd 100644 1 kb
runCWL.Rd 100644 2 kb
runCWLBP.Rd 100644 1 kb
runCWLBatch.Rd 100644 1 kb
stepInputs.Rd 100644 0 kb
stepOutputs.Rd 100644 0 kb
writeCWL.Rd 100644 1 kb
README.md
# Rcwl The Rcwl package can be a simple and user-friendly way to manage command line tools and build data analysis pipelines in R using Common Workflow Language (CWL). ## Installation The package can be installed from Bioconductor (>= 3.9): ``` r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Rcwl") # Or from github BiocManager::install("rworkflow/Rcwl") ``` ## Hello world! ``` r library(Rcwl) inputs <- InputParamList( InputParam(id = "sth") ) echo <- cwlProcess(baseCommand = "echo", inputs) echo$sth <- "Hello World!" res <- runCWL(echo) ``` ## User Guide ``` r vignette(package = "Rcwl") ```