BioinformaticsBioinformaticsPeer-reviewed journal article
STAR Chimeric Post For Rapid Detection Of Circular RNA And Fusion Transcripts
Abstract
MotivationThe biological relevance of chimeric RNA alignments is now well established. Chimera arising as chromosomal fusions are often drivers of cancer, and recently discovered circular RNA are only now being characterized. While software already exists for fusion discovery and quantitation, high false positive rates and high run-times hamper scalable fusion discovery on large datasets. Furthermore, very little software is available for circular RNA detection and quantification.\n\nResultsHere we present STAR Chimeric Post (STARChip), a novel software package that processes chimeric alignments from the STAR aligner and produces annotated circular RNA and high precision fusions in a rapid, efficient, and scalable manner that is appropriate for high dimensional medical omics datasets.\n\nAvailability and ImplementationSTARChip is available at https://github.com/LosicLab/STARChip\n\nContactsbojan.losic@mssm.edu or nicholas.kipp.akers@gmail.com\n\nSupplementary InformationSupplementary figures and tables are available online.
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 28
- FWCI
- 1.51
- Field percentile
- top 17%
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