This is the development version of RCAS; for the stable release version, see RCAS.
RNA Centric Annotation SystemBioconductor version: Development (3.22)
RCAS is an R/Bioconductor package designed as a generic reporting tool for the functional analysis of transcriptome-wide regions of interest detected by high-throughput experiments. Such transcriptomic regions could be, for instance, signal peaks detected by CLIP-Seq analysis for protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome), CAGE-tag locations, or any other collection of query regions at the level of the transcriptome. RCAS produces in-depth annotation summaries and coverage profiles based on the distribution of the query regions with respect to transcript features (exons, introns, 5'/3' UTR regions, exon-intron boundaries, promoter regions). Moreover, RCAS can carry out functional enrichment analyses and discriminative motif discovery.
Author: Bora Uyar [aut, cre], Dilmurat Yusuf [aut], Ricardo Wurmus [aut], Altuna Akalin [aut]
Maintainer: Bora Uyar <bora.uyar at mdc-berlin.de>
Citation (from within R, entercitation("RCAS")
): 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("RCAS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RCAS")
Details biocViews Coverage, GO, GeneSetEnrichment, GeneTarget, GenomeAnnotation, MotifAnnotation, MotifDiscovery, Software, Transcriptomics Version 1.35.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 years) License Artistic-2.0 Depends R (>= 3.5.0), plotly (>= 4.5.2), DT (>= 0.2), data.table Imports GenomicRanges, IRanges, BSgenome, BSgenome.Hsapiens.UCSC.hg19, GenomeInfoDb(>= 1.12.0), Biostrings, rtracklayer, GenomicFeatures, txdbmaker, rmarkdown (>= 0.9.5), genomation(>= 1.5.5), knitr (>= 1.12.3), BiocGenerics, S4Vectors, plotrix, pbapply, RSQLite, proxy, pheatmap, ggplot2, cowplot, seqLogo, utils, ranger, gprofiler2 System Requirements pandoc (>= 1.12.3) URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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