SpliceDetector
SpliceDetector identifies alternative splicing (AS) events from transcript identifiers to profile splicing patterns and determine genomic coordinates of transcript exons for functional genomics analyses.
Key Features:
- Direct AS Event Identification from Transcripts: Identifies AS events directly from transcript identifiers without requiring raw read-level data.
- Utilization of Updated SpliceGraphs: Employs updated SpliceGraphs constructed based on the frequency of active splice sites in pre-mRNA.
- Statistical Analysis and Visualization: Performs statistical analysis and visualization by comparing query transcript exons to SpliceGraphs.
- Genomic Coordinates Discovery: Determines genomic coordinates of query transcript exons.
- Graphical Representation of AS Regions: Generates graphs illustrating alternative splicing regions and splice sites.
Scientific Applications:
- Genome-wide AS Profiling: Enables genome-wide profiling of alternative splicing in human and model organisms.
- Functional Genomics: Supports analysis of alternative splicing contributions to biological processes.
- Disease Research: Supports study of disease progression by identifying splicing alterations associated with pathogenesis.
- Drug Development: Identifies harmful splicing variants to support drug development programs targeting aberrant splicing.
Methodology:
Identifies AS events from transcript identifiers by using updated SpliceGraphs built from splice-site frequency in pre-mRNA, comparing query transcript exons to SpliceGraphs to detect AS events, determining genomic coordinates of query exons, performing statistical analyses, and generating graphical representations of AS regions.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Windows
- Added:
- 7/5/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Baharlou Houreh M, Ghorbani Kalkhajeh P, Niazi A, Ebrahimi F, Ebrahimie E. SpliceDetector: a software for detection of alternative splicing events in human and model organisms directly from transcript IDs. Scientific Reports. 2018;8(1). doi:10.1038/s41598-018-23245-1. PMID:29567976. PMCID:PMC5864913.