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R 040000
data 040000
inst 040000
man 040000
tests 040000
vignettes 040000
.Rbuildignore 100644 0 kb
.gitignore 100644 0 kb
DESCRIPTION 100644 2 kb
NAMESPACE 100644 2 kb
NEWS.Rmd 100644 2 kb
NEWS.md 100644 2 kb
README.Rmd 100644 2 kb
README.md 100644 2 kb
README.md
<!-- README.md is generated from README.Rmd. Please edit that file --> [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FAufiero%2FcircRNAprofiler&count_bg=%2379C83D&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false)](https://hits.seeyoufarm.com) # circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs circRNAprofiler is an R-based framework that only requires an R installation and offers 15 modules 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. The pipeline used by circRNAprofiler is highly automated and customizable. Furthermore, circRNAprofiler includes additional functions for data visualization which facilitate the interpretation of the results. ## Installation You can install the latest release of circRNAprofiler from Bioconductor using: ``` r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("circRNAprofiler") ``` To install the latest development version use: ``` r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("circRNAprofiler") ``` ## Documentation Detailed information on using this package can be found in the package vignettes: ``` r browseVignettes("circRNAprofiler") ``` ## Bugs and Issues We work hard to ensure that circRNAprofiler is a powerful tool empowering your research. However, no software is free of bugs and issues, therefore we would love to get feedback from our users. ## Citation If you find this code useful in your research, please cite: Aufiero, S., Reckman, Y.J., Tijsen, A.J. et al. circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs. BMC Bioinformatics 21, 164 (2020). <https://doi.org/10.1186/s12859-020-3500-3>