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Rcwl

This is the development version of Rcwl; for the stable release version, see Rcwl.

All Bioconductor versions of Rcwl

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9

An R interface to the Common Workflow Language

Bioconductor version: 3.24 · Package version: 1.29.0

The Common Workflow Language (CWL) is an open standard for development of data analysis workflows that is portable and scalable across different tools and working environments. Rcwl provides a simple way to wrap command line tools and build CWL data analysis pipelines programmatically within R. It increases the ease of usage, development, and maintenance of CWL pipelines.

Author: Qiang Hu [aut, cre], Qian Liu [aut]

Maintainer: Qiang Hu <qiang.hu at roswellpark.org>

DOI: 10.18129/B9.bioc.Rcwl

Citation

From within R, enter citation("Rcwl"):

Qiang Hu, Qian Liu. Rcwl: An R interface to the Common Workflow Language. doi:10.18129/B9.bioc.Rcwl, R package version 1.29.0, https://bioconductor.org/packages/Rcwl.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("Rcwl")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version1.29.0
LicenseGPL-2 | file LICENSE
Last updated2026-04-28
In Bioconductor sinceBioC 3.9 (R-3.6) (7 years)
Downloads rank1783 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsImmunoOncology, Software, WorkflowStep
Package Short Url https://bioconductor.org/packages/Rcwl/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Rcwl")
Rcwl: An R interface to the Common Workflow Language (CWL) HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageRcwl_1.29.0.tar.gz
macOS binary (arm64)Rcwl_1.29.0.tgz
macOS binary (x86_64)Rcwl_1.29.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/Rcwl
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/Rcwl
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 3.6), yaml, methods, S4Vectors

Imports: utils, stats, BiocParallel, batchtools, DiagrammeR, shiny, R.utils, codetools, basilisk

Suggests: testthat, knitr, rmarkdown, BiocStyle

Reverse dependencies

Depends On Me (1): RcwlPipelines

Imports Me (1): ReUseData