Detecting circular RNAs: bioinformatic and experimental challenges
By Linda Szabo, Julia Salzman. Nature reviews genetics, 2016
634 citations recorded by the source corpus.
The pervasive expression of circular RNAs (circRNAs) is a recently discovered feature of gene expression in highly diverged eukaryotes. Numerous algorithms that are used to detect genome-wide circRNA expression from RNA sequencing (RNA-seq) data have been developed in the past few years, but there is little overlap in their predictions and no clear gold-standard method to assess the accuracy of these algorithms. We review sources of experimental and bioinformatic biases that complicate the accurate discovery of circRNAs and discuss statistical approaches to address these biases. We conclude with a discussion of the current experimental progress on the topic.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/20bc60d7a2808579c9acac019963034d83dad36f
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Citations in the corpus
- The bioinformatics toolbox for circRNA discovery and analysis (2020, methodology): “As development of these databases in ongoing, the expansion and improvement of circRNA database content and quality remains an important task [3, 14, 78, 87].”