STARChip

STARChip processes chimeric alignments from RNA-Seq data to detect and quantify circular RNAs (circRNAs) and fusion transcripts for genomic analysis.

Key Features:

• High Precision Detection: Processes chimeric alignments to deliver accurate detection of circular RNAs (circRNAs) and fusion transcripts while reducing false positives.
• Efficiency and Scalability: Reduces computational run-times and supports analysis of large-scale RNA-Seq and omics datasets.
• Integration with STAR aligner: Uses chimeric alignment outputs from the STAR aligner as its primary input for downstream detection.
• Annotated Outputs: Produces annotated circRNA and fusion transcript calls suitable for downstream analyses.

Scientific Applications:

• Cancer genomics: Detection of chromosomal fusions and fusion transcripts to study oncogenic drivers and genomic rearrangements in tumors.
• circRNA characterization and biomarker discovery: Identification and quantification of circRNAs to investigate regulatory roles and potential biomarkers.

Methodology:

Processes chimeric alignments generated by the STAR aligner to identify and quantify circRNAs and fusion transcripts, with algorithmic design aimed at minimizing false positives while maintaining high sensitivity.