JAGuaR: junction alignments to genome for RNA-seq reads

Area of Science:

• Bioinformatics
• Genomics
• Transcriptomics

Background:

• RNA sequencing (RNA-seq) is crucial for transcriptome analysis.
• Accurate alignment of RNA-seq reads is essential for downstream analyses like variant calling.
• Existing alignment protocols may face limitations in sensitivity, especially for reads spanning multiple exons.

Purpose of the Study:

• To introduce JAGuaR, a novel alignment protocol for RNA-seq reads.
• To enhance alignment sensitivity by utilizing an extended reference.
• To improve the accuracy of transcriptome alignments and single nucleotide variant (SNV) calling.

Main Methods:

• JAGuaR employs BWA for read alignment to the genome and reference transcript models.
• It incorporates annotated exon-exon junctions to accommodate reads spanning multiple exons.
• Reads aligned to transcript models are re-mapped to genomic coordinates, creating large-gapped alignments.

Main Results:

• JAGuaR demonstrates fast and accurate transcriptome alignments.
• The protocol increases alignment sensitivity compared to standard methods.
• JAGuaR facilitates sensitive and specific SNV calling.

Conclusions:

• JAGuaR provides an effective solution for sensitive RNA-seq read alignment.
• The protocol's ability to handle multi-exon spanning reads improves transcriptome analysis.
• JAGuaR is a valuable tool for accurate SNV detection in RNA-seq data.