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.

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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.

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