flowr: Streamlining Design and Deployment of Complex Workflows

This framework allows you to design and implement complex pipelines, and deploy them on your institution's computing cluster. This has been built keeping in mind the needs of bioinformatics workflows. However, it is easily extendable to any field where a series of steps (shell commands) are to be executed in a (work)flow.

Version: 0.9.11
Depends: R (≥ 3.3), methods, params (≥ 0.7), utils
Imports: diagram, whisker, tools, readr
Suggests: reshape2, knitr, testthat, funr, rmarkdown
Enhances: ggplot2, openxlsx, pacman, cowplot
Published: 2021-03-02
DOI: 10.32614/CRAN.package.flowr
Author: Sahil Seth [aut, cre]
Maintainer: Sahil Seth <me at sahilseth.com>
BugReports: https://github.com/flow-r/flowr/issues
License: MIT + file LICENSE
URL: https://github.com/flow-r/flowr
NeedsCompilation: no
Language: en-US
Citation: flowr citation info
Materials: README NEWS
In views: HighPerformanceComputing, ReproducibleResearch
CRAN checks: flowr results


Reference manual: flowr.pdf
Vignettes: Installation, Configuration and FAQs
Tutorial on Building Pipelines


Package source: flowr_0.9.11.tar.gz
Windows binaries: r-devel: flowr_0.9.11.zip, r-release: flowr_0.9.11.zip, r-oldrel: flowr_0.9.11.zip
macOS binaries: r-release (arm64): flowr_0.9.11.tgz, r-oldrel (arm64): flowr_0.9.11.tgz, r-release (x86_64): flowr_0.9.11.tgz, r-oldrel (x86_64): flowr_0.9.11.tgz
Old sources: flowr archive


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