Related Experiment Video
Updated: Dec 23, 2025
08:25
Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
12.6K
circRNAprofiler: an R-based computational framework for the downstream analysis of circular RNAs
Simona Aufiero1,2, Yolan J Reckman3, Anke J Tijsen3
1Department of Experimental Cardiology, Amsterdam UMC, location AMC, Amsterdam, The Netherlands. s.aufiero@amsterdamumc.nl.
BMC Bioinformatics
|May 1, 2020
Summary
circRNAprofiler is a new R-based tool for analyzing circular RNAs (circRNAs) after detection. It aids in understanding circRNA expression, evolution, and function, facilitating further research into their roles.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Circular RNAs (circRNAs) are a novel class of non-coding RNA molecules.
- While circRNA detection tools are available, computational resources for downstream functional analysis remain limited.
Purpose of the Study:
- To develop an R-based computational framework, circRNAprofiler, for the functional analysis of circRNAs.
- To provide a tool that integrates data from multiple circRNA detection methods.
Main Methods:
- circRNAprofiler is an R package designed for post-detection analysis of circRNAs.
- It integrates circRNAs identified by various annotation-based detection tools.
- The framework analyzes expression, genomic context, evolutionary conservation, biogenesis, and putative functions.
Main Results:
- circRNAprofiler enables the combination and analysis of circRNAs from multiple detection tools.
- It offers comprehensive analysis of circRNA expression, conservation, and potential functions.
- The tool provides an automated and customizable workflow for circRNA analysis.
Conclusions:
- circRNAprofiler offers a valuable, automated, and customizable workflow for circRNA functional analysis.
- The results generated can serve as a foundation for investigating specific circRNAs in physiological and pathological contexts.
Related Concept Videos
03:21RNA-seq
11.6K
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...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.6K
02:24Ribosome Profiling
4.0K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.0K