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.

Maintainer: Sahil Seth <me at sahilseth.com>

Author(s): Sahil Seth*

Install package and any missing dependencies by running this line in your R console:

install.packages("flowr")

Depends R (>= 3.0.2), methods, params(>=0.3), utils
Imports diagram, whisker, tools
Suggests reshape2, knitr, ggplot2, openxlsx, testthat, funr
Enhances
Linking to
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package flowr
Materials
URL https://github.com/sahilseth/flowr
Task Views HighPerformanceComputing
Version 0.9.10
Published 2016-04-19
License MIT + file LICENSE
BugReports https://github.com/sahilseth/flowr/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks flowr check results
Package source flowr_0.9.10.tar.gz