riboSeqR
This is the development version of riboSeqR; for the stable release version, see riboSeqR.
Analysis of sequencing data from ribosome profiling experiments
Bioconductor version: Development (3.18)
Plotting functions, frameshift detection and parsing of sequencing data from ribosome profiling experiments.
Author: Thomas J. Hardcastle
Maintainer: Thomas J. Hardcastle <tjh48 at cam.ac.uk>
citation("riboSeqR")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("riboSeqR")
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("riboSeqR")
riboSeqR | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Genetics, RiboSeq, Sequencing, Software, Visualization |
Version | 1.35.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (9 years) |
License | GPL-3 |
Depends | R (>= 3.0.2), methods, GenomicRanges, abind |
Imports | Rsamtools, IRanges, baySeq, GenomeInfoDb, seqLogo |
Linking To | |
Suggests | BiocStyle, RUnit, BiocGenerics |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | riboSeqR_1.35.0.tar.gz |
Windows Binary | riboSeqR_1.35.0.zip |
macOS Binary (x86_64) | riboSeqR_1.35.0.tgz |
macOS Binary (arm64) | riboSeqR_1.35.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/riboSeqR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/riboSeqR |
Bioc Package Browser | https://code.bioconductor.org/browse/riboSeqR/ |
Package Short Url | https://bioconductor.org/packages/riboSeqR/ |
Package Downloads Report | Download Stats |