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Bioconductor - systemPipeRdata (development version)

systemPipeRdata

This is the development version of systemPipeRdata; for the stable release version, see systemPipeRdata.

systemPipeRdata: Workflow templates and sample data

Bioconductor version: Development (3.22)

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.

Author: Thomas Girke

Maintainer: Thomas Girke <thomas.girke at ucr.edu>

Citation (from within R, enter citation("systemPipeRdata")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("systemPipeRdata")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("systemPipeRdata")
Details biocViews Alignment, ChIPSeq, Coverage, DataImport, ExperimentData, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, Infrastructure, MethylSeq, QualityControl, RNASeq, RiboSeq, SNP, Sequencing, WorkflowStep Version 2.13.2 License Artistic-2.0 Depends R (>= 3.6.0) Imports methods, Biostrings, BiocGenerics, jsonlite, remotes System Requirements URL https://github.com/tgirke/systemPipeRdata See More Suggests GenomicFeatures, GenomicRanges, IRanges, Rsamtools, ShortRead, rtracklayer, RUnit, BiocStyle, knitr, rmarkdown, systemPipeR, kableExtra, magrittr, dplyr Linking To Enhances Depends On Me Imports Me Suggests Me systemPipeR, systemPipeShiny Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.

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