Bioconductor – girafe

DOI: 10.18129/B9.bioc.girafe  

 

This package is for version 3.9 of Bioconductor;
for the stable, up-to-date release version, see
girafe.

Genome Intervals and Read Alignments for Functional Exploration

Bioconductor version: 3.9

The package ‘girafe’ deals with the genome-level representation of aligned reads from next-generation sequencing data. It contains an object class for enabling a detailed description of genome intervals with aligned reads and functions for comparing, visualising, exporting and working with such intervals and the aligned reads. As such, the package interacts with and provides a link between the packages ShortRead, IRanges and genomeIntervals.

Author: Joern Toedling, with contributions from Constance Ciaudo, Olivier Voinnet, Edith Heard, Emmanuel Barillot, and Wolfgang Huber

Maintainer: J. Toedling <jtoedling at yahoo.de>

Citation (from within R,
enter citation("girafe")):

Installation

To install this package, start R (version
“3.6”) and enter:

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

BiocManager::install("girafe")

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("girafe")

 

PDF

R Script

Genome intervals and read alignments for functional exploration
PDF   Reference Manual
Text   NEWS

Details

biocViews Sequencing, Software
Version 1.36.0
In Bioconductor since BioC 2.6 (R-2.11) (9.5 years)
License Artistic-2.0
Depends R (>= 2.10.0), methods, BiocGenerics(>= 0.13.8), S4Vectors(>= 0.17.25), Rsamtools(>= 1.31.2), intervals (>= 0.13.1), ShortRead(>= 1.37.1), genomeIntervals(>= 1.25.1), grid
Imports methods, Biobase, Biostrings(>= 2.47.6), graphics, grDevices, stats, utils, IRanges(>= 2.13.12)
LinkingTo
Suggests MASS, org.Mm.eg.db, RColorBrewer
SystemRequirements
Enhances genomeIntervals
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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package in your R session.


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