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STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts.


ABSTRACT:

Motivation

The 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 (circRNA) 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, software available for circRNA detection and quantification is limited.

Results

Here, we present STAR Chimeric Post (STARChip), a novel software package that processes chimeric alignments from the STAR aligner and produces annotated circRNA and high precision fusions in a rapid, efficient and scalable manner that is appropriate for high dimensional medical omics datasets.

Availability and implementation

STARChip is available at https://github.com/LosicLab/STARChip.

Supplementary information

Supplementary data are available at Bioinformatics online.

SUBMITTER: Akers NK 

PROVIDER: S-EPMC6041974 | biostudies-literature |

REPOSITORIES: biostudies-literature

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