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

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

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