r-flowr

Summary

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.

Versions

  • 0.9.9.5

License

MIT + file LICENSE

Meta

package:
  name: r-flowr
  # Note that conda versions cannot contain -, so any -'s in the version have
  # been replaced with _'s.
  version: "0.9.9.5"

source:
  fn: flowr_0.9.9.5.tar.gz
  url:
    - http://cran.r-project.org/src/contrib/flowr_0.9.9.5.tar.gz
    - http://cran.r-project.org/src/contrib/Archive/flowr/flowr_0.9.9.5.tar.gz


  # You can add a hash for the file here, like md5 or sha1
  # md5: 49448ba4863157652311cc5ea4fea3ea
  # sha1: 3bcfbee008276084cbb37a2b453963c61176a322
  # patches:
   # List any patch files here
   # - fix.patch

build:
  # If this is a new build for the same version, increment the build
  # number. If you do not include this key, it defaults to 0.
  # number: 1

  # This is required to make R link correctly on Linux.
  rpaths:
    - lib/R/lib/
    - lib/

# Suggests: reshape2, knitr, ggplot2, openxlsx, testthat, funr
requirements:
  build:
    - r
    - r-diagram
    - r-params >=0.3
    - r-whisker

  run:
    - r
    - r-diagram
    - r-params >=0.3
    - r-whisker

test:
  commands:
    # You can put additional test commands to be run here.
    - $R -e "library('flowr')" # [not win]
    - "\"%R%\" -e \"library('flowr')\"" # [win]

  # You can also put a file called run_test.py, run_test.sh, or run_test.bat
  # in the recipe that will be run at test time.

  # requires:
    # Put any additional test requirements here.

about:
  home: https://github.com/sahilseth/flowr
  license: MIT + file LICENSE
  summary: 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.

# The original CRAN metadata for this package was:

# Package: flowr
# Type: Package
# Title: Streamlining Design and Deployment of Complex Workflows
# Description: 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: 0.9.9.5
# Depends: R (>= 3.0.2), methods, params (>= 0.3), utils
# Imports: diagram, whisker, tools
# Suggests: reshape2, knitr, ggplot2, openxlsx, testthat, funr
# VignetteBuilder: knitr
# URL: https://github.com/sahilseth/flowr
# BugReports: https://github.com/sahilseth/flowr/issues
# Authors@R: c(person("Sahil", "Seth", role = c("aut", "cre"), email = "me@sahilseth.com"))
# License: MIT + file LICENSE
# RoxygenNote: 5.0.1.9000
# NeedsCompilation: no
# Packaged: 2015-12-03 16:30:57 UTC; sahilseth
# Author: Sahil Seth [aut, cre]
# Maintainer: Sahil Seth <me@sahilseth.com>
# Repository: CRAN
# Date/Publication: 2015-12-03 17:54:26

# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml