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Bioconductor - RNAmodR (development version)

RNAmodR

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

Detection of post-transcriptional modifications in high throughput sequencing data

Bioconductor version: Development (3.22)

RNAmodR provides classes and workflows for loading/aggregation data from high througput sequencing aimed at detecting post-transcriptional modifications through analysis of specific patterns. In addition, utilities are provided to validate and visualize the results. The RNAmodR package provides a core functionality from which specific analysis strategies can be easily implemented as a seperate package.

Author: Felix G.M. Ernst [aut, cre] ORCID: 0000-0001-5064-0928 , Denis L.J. Lafontaine [ctb, fnd]

Maintainer: Felix G.M. Ernst <felix.gm.ernst at outlook.com>

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

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("RNAmodR")
Details biocViews Infrastructure, Sequencing, Software, Visualization, WorkflowStep Version 1.23.0 In Bioconductor since BioC 3.10 (R-3.6) (5.5 years) License Artistic-2.0 Depends R (>= 4.0), S4Vectors(>= 0.27.12), IRanges(>= 2.23.9), GenomicRanges, Modstrings Imports methods, stats, grDevices, matrixStats, BiocGenerics, Biostrings(>= 2.57.2), BiocParallel, txdbmaker, GenomicFeatures, GenomicAlignments, GenomeInfoDb, rtracklayer, Rsamtools, BSgenome, RColorBrewer, colorRamps, ggplot2, Gviz(>= 1.31.0), reshape2, graphics, ROCR System Requirements URL https://github.com/FelixErnst/RNAmodR Bug Reports https://github.com/FelixErnst/RNAmodR/issues See More Package Archives

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

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