_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-systempiper 2.12.0
Propagated dependencies: r-biocgenerics@0.52.0 r-biostrings@2.74.0 r-crayon@1.5.3 r-genomicranges@1.58.0 r-ggplot2@3.5.1 r-htmlwidgets@1.6.4 r-magrittr@2.0.3 r-rsamtools@2.22.0 r-s4vectors@0.44.0 r-shortread@1.64.0 r-stringr@1.5.1 r-summarizedexperiment@1.36.0 r-yaml@2.3.10
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/tgirke/systemPipeR
Licenses: Artistic License 2.0
Synopsis: Next generation sequencing workflow and reporting environment
Description:

This R package provides tools 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.

Total results: 2