PVAAS

PVAAS identifies single nucleotide variants (SNVs) associated with aberrant alternative splicing by integrating variant detection and splicing analysis from RNA-seq data.


Key Features:

  • Simultaneous analysis: Integrates detection of aberrant splicing events with identification of SNVs from RNA-seq data in a single analysis.
  • Aberrant splicing detection: Detects deviations from expected splicing patterns using RNA-seq-derived transcriptome data.
  • Variant integration and calling: Supports incorporation of pre-existing variant lists or performs variant calling directly from RNA-seq reads.
  • Association assessment: Evaluates statistical significance of associations between identified SNVs and aberrant splicing events.
  • Three-step workflow: Implements a three-step process of splicing detection, variant integration/calling, and statistical association testing.

Scientific Applications:

  • Disease research: Investigating how specific SNVs contribute to diseases characterized by aberrant splicing, such as cancers and genetic disorders.
  • Functional genomics: Exploring the functional consequences of genetic variation on gene expression regulation via alternative splicing mechanisms.
  • Transcriptome analysis: Linking SNVs to alterations in splicing patterns to enhance interpretation of RNA-seq-based transcriptomic studies.

Methodology:

Identify aberrant splicing events from RNA-seq data; integrate or call SNVs from RNA-seq or pre-existing variant lists; assess statistical significance of SNV–splicing associations.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Mac
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Wang L, Nie JJ, Kocher JA. PVAAS: identify variants associated with aberrant splicing from RNA-seq. Bioinformatics. 2015;31(10):1668-1670. doi:10.1093/bioinformatics/btv001. PMID:25573917. PMCID:PMC4807355.

Documentation

Links