R code for SBpipe (see: https://pdp10.github.io/sbpipe). This package contains a collection of R utility functions used by SBpipe for plotting and generating statistics. Originally, this source code was distributed within SBpipe. SBpiper was conceived to improve modularity and enable the invokation of SBpipe functions for data analysis and plot generation directly as an R library.
This dependency library is automatically installed by SBpipe via provided script or using conda, so no further step is needed. See the above link for instructions on how to install SBpipe.
The below information should be used by those users who intend to use this library directly in their R source code and do NOT plan to install SBpipe. SBpiper can directly be installed via github:
> install.packages("devtools") > devtools::install_github("pdp10/sbpiper")
or via conda:
$ conda install sbpiper -c pdp10 -c r -c defaults
The R package is loaded as usual:
Developers can check and build SBpiper using the following commands:
> devtools::check("sbpiper") > devtools::build("sbpiper")
or outside R with the commands:
$ R CMD build . $ R CMD check *tar.gz --as-cran
Finally, sbpiper is installed with the command:
$ R CMD INSTALL sbpiper_X.Y.Z.tar.gz
Conda recipe for SBpiper retrieves the code from the github branch:
develop. Anaconda client is needed and can be installed with the following commands:
$ conda install anaconda-client $ anaconda login
Build conda package:
$ conda-build conda_recipe/meta.yaml -c pdp10 -c r -c defaults
How to cite SBpipe / SBpiper:
Dalle Pezze, P and Le Novère, N. (2017) BMC Systems Biology 11:46. SBpipe: a collection of pipelines for automating repetitive simulation and analysis tasks. DOI:10.1186/s12918-017-0423-3
Thanks for using sbpiper!