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.