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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: Dec 17, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

Rcirc: An R Package for circRNA Analyses and Visualization.

Peisen Sun^1,2, Haoming Wang³, Guanglin Li^1,2

¹Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, Shaanxi Normal University, Xi'an, China.

Frontiers in Genetics

|June 26, 2020

Summary

This summary is machine-generated.

This study introduces Rcirc, a user-friendly R package for analyzing circular RNAs (circRNAs) after detection. Rcirc aids in identifying circRNA coding potential and offers versatile visualization tools for single or multiple circRNAs.

Keywords:

R package bioinformatics circular RNAs coding potential ribosome profiling visualization

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Last Updated: Dec 17, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

Identification of Circular RNAs using RNA Sequencing

Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

A User-friendly and Powerful R Analysis of Large-scale Datasets

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Circular RNAs (circRNAs) are endogenous RNAs with a closed-loop structure.
circRNAs play crucial roles in various biological processes.
Advancements in RNA sequencing and bioinformatics have enabled circRNA detection.

Purpose of the Study:

To develop a user-friendly R package named Rcirc for post-detection analysis of circRNAs.
To enable identification of circRNA coding potential.
To provide comprehensive visualization tools for circRNA data.

Main Methods:

Development of the R package "Rcirc" using R programming language.
Implementation of functions for circRNA coding ability assessment.
Integration of visualization modules for single and meta-analysis of circRNAs.

Main Results:

Rcirc successfully identifies the coding potential of circRNAs.
The package offers flexible visualization for individual circRNAs and large-scale meta-features.
Rcirc provides a highly automated and user-friendly experience.

Conclusions:

Rcirc is a valuable tool for researchers studying circRNA function and characteristics.
The package simplifies complex circRNA analyses and data visualization.
Rcirc enhances the utility of RNA-seq data for circRNA research.