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CircMiner: accurate and rapid detection of circular RNA through splice-aware pseudo-alignment scheme
Author(s) -
Hossein Asghari,
YenYi Lin,
Yang Xu,
Ehsan Haghshenas,
Colin C. Collins,
Faraz Hach
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa232
Subject(s) - scheme (mathematics) , splice , circular rna , computer science , rna , computational biology , algorithm , mathematics , biology , genetics , gene , mathematical analysis
The ubiquitous abundance of circular RNAs (circRNAs) has been revealed by performing high-throughput sequencing in a variety of eukaryotes. circRNAs are related to some diseases, such as cancer in which they act as oncogenes or tumor-suppressors and, therefore, have the potential to be used as biomarkers or therapeutic targets. Accurate and rapid detection of circRNAs from short reads remains computationally challenging. This is due to the fact that identifying chimeric reads, which is essential for finding back-splice junctions, is a complex process. The sensitivity of discovery methods, to a high degree, relies on the underlying mapper that is used for finding chimeric reads. Furthermore, all the available circRNA discovery pipelines are resource intensive.

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