This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see systemPipeR.
Bioconductor version: 3.16
R package for building and running automated end-to-end analysis workflows for a wide range of next generation sequence (NGS) applications such as RNA-Seq, ChIP-Seq, VAR-Seq and Ribo-Seq. Important features include a uniform workflow interface across different NGS applications, automated report generation, and support for running both R and command-line software, such as NGS aligners or peak/variant callers, on local computers or compute clusters. Efficient handling of complex sample sets and experimental designs is facilitated by a consistently implemented sample annotation infrastructure. Instructions for using systemPipeR are given in the Overview Vignette (HTML). The remaining Vignettes, linked below, are workflow templates for common NGS use cases.
Author: Thomas Girke
Maintainer: Thomas Girke <thomas.girke at ucr.edu>
Citation (from within R,
      enter citation("systemPipeR")):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("systemPipeR")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("systemPipeR")
    
| HTML | R Script | systemPipeR: Workflow and Visualization Toolkit | 
| HTML | R Script | systemPipeR: Workflows collection | 
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Alignment, ChIPSeq, Coverage, DataImport, GeneExpression, GeneSetEnrichment, Genetics, ImmunoOncology, Infrastructure, MethylSeq, QualityControl, RNASeq, ReportWriting, RiboSeq, SNP, Sequencing, Software, Workflow | 
| Version | 2.4.0 | 
| In Bioconductor since | BioC 3.0 (R-3.1) (8.5 years) | 
| License | Artistic-2.0 | 
| Depends | Rsamtools(>= 1.31.2), Biostrings, ShortRead(>= 1.37.1), methods | 
| Imports | GenomicRanges, SummarizedExperiment, ggplot2, yaml, stringr, magrittr, S4Vectors, crayon, BiocGenerics, htmlwidgets | 
| LinkingTo | |
| Suggests | BiocStyle, knitr, rmarkdown, systemPipeRdata, GenomicAlignments, grid, dplyr, testthat, rjson, annotate, AnnotationDbi, kableExtra, GO.db, GenomeInfoDb, DT, rtracklayer, limma, edgeR, DESeq2, IRanges, batchtools, GenomicFeatures(>= 1.31.3), VariantAnnotation(>= 1.25.11) | 
| SystemRequirements | systemPipeR can be used to run external command-line software (e.g. short read aligners), but the corresponding tool needs to be installed on a system. | 
| Enhances | |
| URL | https://systempipe.org/ https://github.com/tgirke/systemPipeR | 
| Depends On Me | |
| Imports Me | DiffBind, RNASeqR | 
| Suggests Me | systemPipeRdata, systemPipeShiny, systemPipeTools | 
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | systemPipeR_2.4.0.tar.gz | 
| Windows Binary | systemPipeR_2.4.0.zip (64-bit only) | 
| macOS Binary (x86_64) | systemPipeR_2.4.0.tgz | 
| macOS Binary (arm64) | systemPipeR_2.4.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/systemPipeR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/systemPipeR | 
| Bioc Package Browser | https://code.bioconductor.org/browse/systemPipeR/ | 
| Package Short Url | https://bioconductor.org/packages/systemPipeR/ | 
| Package Downloads Report | Download Stats | 
 
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