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circRNAprofiler: An R-Based Computational Framework for the Downstream Analysis of Circular RNAs

Bioconductor version: Release (3.19)

R-based computational framework for a comprehensive in silico analysis of circRNAs. This computational framework allows to combine and analyze circRNAs previously detected by multiple publicly available annotation-based circRNA detection tools. It covers different aspects of circRNAs analysis from differential expression analysis, evolutionary conservation, biogenesis to functional analysis.

Author: Simona Aufiero

Maintainer: Simona Aufiero <simo.aufiero at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

circRNAprofiler HTML R Script
Reference Manual PDF


biocViews Annotation, DifferentialExpression, FunctionalPrediction, GenePrediction, GenomeAssembly, Software, StructuralPrediction
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-3
Depends R (>= 4.3.0)
Imports dplyr, magrittr, readr, rtracklayer, stringr, stringi, DESeq2, edgeR, GenomicRanges, IRanges, seqinr, R.utils, reshape2, ggplot2, utils, rlang, S4Vectors, stats, GenomeInfoDb, universalmotif, AnnotationHub, BSgenome.Hsapiens.UCSC.hg19, Biostrings, gwascat, BSgenome
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Suggests testthat, knitr, roxygen2, rmarkdown, devtools, gridExtra, ggpubr, VennDiagram, BSgenome.Mmusculus.UCSC.mm9, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Mmusculus.UCSC.mm10, BiocManager
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Follow Installation instructions to use this package in your R session.

Source Package circRNAprofiler_1.18.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) circRNAprofiler_1.18.0.tgz
macOS Binary (arm64) circRNAprofiler_1.18.0.tgz
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