Bioconductor version: Release (3.11)
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] , Denis L.J. Lafontaine [ctb, fnd]
Maintainer: Felix G.M. Ernst <felix.gm.ernst at outlook.com>
Citation (from within R,
enter citation("RNAmodR")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RNAmodR")
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("RNAmodR")
HTML | R Script | RNAmodR |
HTML | R Script | RNAmodR - creating new classes for a new detection strategy |
Reference Manual | ||
Text | NEWS |
biocViews | Infrastructure, Sequencing, Software, Visualization, WorkflowStep |
Version | 1.2.3 |
In Bioconductor since | BioC 3.10 (R-3.6) (1 year) |
License | Artistic-2.0 |
Depends | R (>= 3.6), IRanges(>= 2.21.6), S4Vectors(>= 0.25.14), GenomicRanges, Modstrings |
Imports | methods, stats, grDevices, matrixStats, BiocGenerics, Biostrings(>= 2.55.7), BiocParallel, GenomicFeatures, GenomicAlignments, GenomeInfoDb, rtracklayer, Rsamtools, BSgenome, RColorBrewer, colorRamps, ggplot2, Gviz(>= 1.31.0), reshape2, graphics, ROCR |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown, testthat, RNAmodR.Data |
SystemRequirements | |
Enhances | |
URL | https://github.com/FelixErnst/RNAmodR |
BugReports | https://github.com/FelixErnst/RNAmodR/issues |
Depends On Me | RNAmodR.AlkAnilineSeq, RNAmodR.ML, RNAmodR.RiboMethSeq |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RNAmodR_1.2.3.tar.gz |
Windows Binary | RNAmodR_1.2.3.zip |
macOS 10.13 (High Sierra) | RNAmodR_1.2.3.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RNAmodR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RNAmodR |
Package Short Url | https://bioconductor.org/packages/RNAmodR/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
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