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Circall- A new software for discovery of circular RNAs from paired-end RNA sequencing data

Tariq Abdullah

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Circall- A new software for discovery of circular RNAs from paired-end RNA sequencing data

Circular RNAs serve as markers for diagnosis and therapeutic targets of several diseases such as cardiovascular diseases, cancer, and autoimmune diseases. New software is developed for the discovery of circular RNAs from paired-end RNA sequencing data. This tool is called Circall [1].

Circall is highly efficient as it uses a quasi-mapping algorithm for fast and accurate RNA read alignment. It controls false positives by applying a robust multidimensional local false discovery rate method. This method is based on the expression and length of circular RNAs. Circall shows high sensitivity and precision. It has been tested by the authors on two simulated datasets and three experimental datasets of human cell lines [1]. It also works fast on large datasets.

Circall is written in C++ and R. It is freely available to use at https://www.meb.ki.se/sites/biostatwiki/circall and can be easily downloaded from GitHub.

For more information, read here.


References

  1. Nguyen, D.T., Trac, Q.T., Nguyen, TH. et al. (2021). Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data. BMC Bioinformatics 22, 495.

Tariq is founder of Bioinformatics Review and CEO at IQL Technologies. His areas of expertise include algorithm design, phylogenetics, MicroArray, Plant Systematics, and genome data analysis. If you have questions, reach out to him via his homepage.

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