JunctionSeq
JunctionSeq detects differential exon and splice-junction usage from RNA-Seq data to identify alternative isoform regulation, including detection of novel splice junctions when transcript annotations are incomplete.
Key Features:
- Detection of Differential Usage: Detects differential usage of exonic regions and splice junctions from RNA-Seq data without requiring an isoform assembly step.
- Novel Splice-Junction Detection: Identifies novel splice junctions and enables analysis when transcript annotations are incomplete.
- Statistical Framework: Extends the DEXSeq statistical methodologies to test differential usage at both exon and splice-junction levels.
- Visualization: Generates visual summaries of differential exon and splice-junction usage to aid result interpretation.
Scientific Applications:
- Alternative Splicing Analysis: Detection and characterization of alternative isoform regulation and alternative splicing events from RNA-Seq data.
- Isoform-Level Expression Studies: Precise isoform-level differential usage analysis for studies of gene regulation.
- Organism-Specific Studies: Applied to rat pineal gland and Toxoplasma gondii data, detecting known and previously validated AIR genes with perfect gene-level hypothesis test results (19/19).
Methodology:
Extends DEXSeq-like statistical techniques to model and test differential usage of exonic regions and splice junctions, incorporating novel splice junctions and operating without an isoform assembly step.
Topics
Collections
Details
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 1/13/2019
Operations
Publications
Hartley SW, Mullikin JC. Detection and visualization of differential splicing in RNA-Seq data with JunctionSeq. Nucleic Acids Research. 2016. doi:10.1093/nar/gkw501. PMID:27257077. PMCID:PMC5009739.