deSALT

deSALT aligns long-read RNA sequencing (RNA-seq) data to reference genomes using a de Bruijn graph–based spliced alignment strategy to improve exon detection and full-length transcript alignment.

Key Features:

• Two-Pass Alignment Strategy: Performs a two-pass alignment process to construct alignment skeletons and refine spliced alignments of long RNA-seq reads.
• De Bruijn Graph Indexing: Utilizes a de Bruijn graph–based index to build alignment skeletons that support exon inference.
• Spliced Reference Sequence Generation: Constructs spliced reference sequences from inferred exons to improve alignment accuracy.
• Long-Read Error Tolerance: Handles sequencing errors and small exons commonly present in long-read RNA sequencing datasets.

Scientific Applications:

• Transcriptome Analysis: Aligns long-read RNA-seq data for analysis of transcript structures.
• Alternative Splicing Studies: Enables detection and characterization of exon–intron structures and splicing patterns.
• Transcript Discovery: Supports identification of full-length transcripts from long-read sequencing datasets.

Methodology:

deSALT performs a two-pass alignment process using a de Bruijn graph–based index to construct alignment skeletons, infer exon regions, generate spliced reference sequences, and refine spliced alignments of long RNA-seq reads.