Bioconductor Developer Survey 2026 Now Open!

systemPipeRdata

systemPipeRdata: Workflow templates and sample data

Bioconductor version: 3.23 · Package version: 2.16.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

systemPipeRdata complements the systemPipeR workflow management system (WMS) by offering a collection of pre-designed data analysis workflow templates. These templates are easily accessible and can be readily loaded onto a user's system with a single command. Once loaded, the WMS can immediately utilize these templates for efficient end-to-end analysis, serving a wide range of data analysis needs.

DOI: 10.18129/B9.bioc.systemPipeRdata

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("systemPipeRdata")

Details

MaintainerThomas Girke <thomas.girke@ucr.edu>
AuthorThomas Girke
LicenseArtistic-2.0
URLhttps://github.com/tgirke/systemPipeRdata
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsAlignment, ChIPSeq, Coverage, DataImport, ExperimentData, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, Infrastructure, MethylSeq, QualityControl, RNASeq, RiboSeq, SNP, Sequencing, WorkflowStep
Package Short Url https://bioconductor.org/packages/systemPipeRdata/

Citation

From within R, enter citation("systemPipeRdata"):

Thomas Girke. systemPipeRdata: systemPipeRdata: Workflow templates and sample data. doi:10.18129/B9.bioc.systemPipeRdata, R package version 2.16.0, https://bioconductor.org/packages/systemPipeRdata.

Generated from the package metadata; it may differ from the package's own citation.

Download

Follow the installation instructions to use this package in your R session.

Source packagesystemPipeRdata_2.16.0.tar.gz
Dependencies

Depends: R (>= 3.6.0)

Imports: methods, Biostrings, BiocGenerics, jsonlite, remotes

Suggests: GenomicFeatures, DT, txdbmaker, GenomicRanges, IRanges, Rsamtools, ShortRead, rtracklayer, RUnit, BiocStyle, knitr, rmarkdown, systemPipeR, kableExtra, magrittr, dplyr, gert

Reverse dependencies

Suggests Me (2): systemPipeR, systemPipeShiny