MAJIQ-SPEL

MAJIQ-SPEL analyzes local splicing variations (LSVs) from RNA-Seq data to visualize and quantify complex alternative splicing (AS) events and to suggest RT-PCR primers for experimental validation and interpretation of transcript isoforms and affected protein domains.


Key Features:

  • Input Handling: Accepts local splicing variations (LSVs) quantified from RNA-Seq datasets as input.
  • Visualization and Quantification: Visualizes and quantifies gene isoforms associated with input LSVs, supporting both classical binary splicing events and complex non-binary variations.
  • Primer Design Algorithm: Implements a matching primer design algorithm that suggests potential primers for RT-PCR experimental validation.
  • UCSC Genome Browser Integration: Displays suggested primers and the corresponding protein domains affected by LSVs on the UCSC Genome Browser.

Scientific Applications:

  • Gene Expression Regulation: Enables analysis of how alternative splicing contributes to regulation of gene expression.
  • Phenotypic Diversity and Disease Mechanisms: Facilitates investigation of AS contributions to phenotypic diversity and disease mechanisms and identification of potential therapeutic targets.
  • High-Resolution Transcriptomic Analysis and Validation: Supports high-resolution analysis of complex splicing events and guides experimental RT-PCR validation of predicted isoforms.

Methodology:

Quantifies local splicing variations from RNA-Seq datasets, processes these LSVs to visualize and quantify associated gene isoforms for binary and non-binary splicing patterns, applies a primer design algorithm to suggest RT-PCR primers, and outputs suggested primers and affected protein domains for display on the UCSC Genome Browser.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
api, command-line tool
Operating Systems:
Linux, Windows, Mac
Added:
7/7/2019
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Green CJ, Gazzara MR, Barash Y. MAJIQ-SPEL: web-tool to interrogate classical and complex splicing variations from RNA-Seq data. Bioinformatics. 2017;34(2):300-302. doi:10.1093/bioinformatics/btx565. PMID:28968636. PMCID:PMC7263396.

PMID: 28968636
PMCID: PMC7263396
Funding: - Penn Institute for Biomedical Informatics: R01 AG046544

Documentation

Downloads

Links