This is the released version of pipeFrame; for the devel version, see pipeFrame.
Pipeline framework for bioinformatics in RBioconductor version: Release (3.21)
pipeFrame is an R package for building a componentized bioinformatics pipeline. Each step in this pipeline is wrapped in the framework, so the connection among steps is created seamlessly and automatically. Users could focus more on fine-tuning arguments rather than spending a lot of time on transforming file format, passing task outputs to task inputs or installing the dependencies. Componentized step elements can be customized into other new pipelines flexibly as well. This pipeline can be split into several important functional steps, so it is much easier for users to understand the complex arguments from each step rather than parameter combination from the whole pipeline. At the same time, componentized pipeline can restart at the breakpoint and avoid rerunning the whole pipeline, which may save a lot of time for users on pipeline tuning or such issues as power off or process other interrupts.
Author: Zheng Wei, Shining Ma
Maintainer: Zheng Wei <wzweizheng at qq.com>
Citation (from within R, entercitation("pipeFrame")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pipeFrame")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pipeFrame")
Details biocViews Infrastructure, Software, WorkflowStep Version 1.24.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL-3 Depends R (>= 4.0.0) Imports BSgenome, digest, visNetwork, magrittr, methods, Biostrings, GenomeInfoDb, parallel, stats, utils, rmarkdown System Requirements URL https://github.com/wzthu/pipeFrame Bug Reports https://github.com/wzthu/pipeFrame/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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