circRNAprofiler

"circRNAprofiler" is an R-based computational framework to facilitate comprehensive downstream functional analysis of circular RNAs (circRNAs), a non-coding RNA molecule class that has gained significant attention in recent years. While numerous tools exist for detecting circRNAs, computational resources have been scarce for performing in-depth functional analyses of these molecules post-identification. circRNAprofiler addresses this gap by offering a versatile and automated workflow for analyzing circRNAs identified by various annotation-based circRNA detection tools.

Key Features and Functionalities:

- Integration of Multiple Detection Tools: circRNAprofiler allows users to combine circRNA datasets identified by multiple publicly available circRNA detection tools, enhancing the comprehensiveness of the analysis.

- Comprehensive Analysis Workflow: The framework supports various analyses, including examining circRNA expression, genomic context, evolutionary conservation, biogenesis, and putative functions. This extensive analysis capability provides a holistic view of circRNA characteristics and their potential roles.

- Highly Automated and Customizable: circRNAprofiler is designed to offer a high degree of automation, simplifying the analysis process for users. Additionally, the framework is customizable, enabling researchers to tailor the analyses to meet the specific needs of their projects.