IPSA
IPSA quantifies and analyzes RNA splicing from RNA-seq data by extracting splice-junction and splice-site counts, computing exon- and intron-centric splicing indices with separate 5' and 3' measures, and characterizing micro-exons and local splice-graph structures.
Key Features:
- Quantification of splice junctions and boundaries: Quantifies splice junctions and splice-site boundaries from RNA-seq alignments to produce junction-centered and boundary-centered counts.
- Calculation of splicing indices: Computes exon-centric and intron-centric splicing indices and decomposes splicing completeness into separate 5' and 3' measures.
- Analysis of micro-exons and splice-graph structure: Analyzes micro-exons and local splice-graph structures to characterize complex splicing events.
- BAM-file-processing pipeline (bam2ssj): Implements a BAM-file-processing pipeline, bam2ssj, that processes strand-specific reads aligning to splice junctions or overlapping splice sites.
Scientific Applications:
- Alternative splicing: Quantitative analysis of alternative splicing events from RNA-seq data.
- Gene regulation: Assessment of how splicing variation affects gene regulation.
- Transcriptome diversity: Characterization of transcriptome diversity arising from alternative splice forms.
- Splicing in health and disease: Investigation of functional implications of splicing variations in health and disease contexts.
Methodology:
Adopts an intron-centric perspective that decomposes splicing completeness into separate 5' and 3' measures and uses the bam2ssj BAM-file-processing pipeline to process strand-specific reads that align to splice junctions or overlap splice sites.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R, Perl
- Added:
- 4/22/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Nucleic acid sequence analysis
Inputs
Outputs
Publications
Pervouchine DD, Knowles DG, Guigó R. Intron-centric estimation of alternative splicing from RNA-seq data. Bioinformatics. 2012;29(2):273-274. doi:10.1093/bioinformatics/bts678. PMID:23172860. PMCID:PMC3546801.
Documentation
Downloads
- Source codehttps://github.com/pervouchine/ipsa-full