PSI-Sigma
PSI-Sigma analyzes alternative pre-mRNA splicing events from short-read and long-read RNA sequencing data and quantifies splicing using a Percent Spliced-In (PSI) index.
Key Features:
- PSI Index: Provides precise quantification of alternative splicing changes using a Percent Spliced-In metric.
- Benchmarking with Real Data: Validates PSI measurements using RNA-seq datasets from spliced synthetic genes (RNA Sequins).
- Performance Evaluation: Compares detection performance against rMATS, SUPPA2, and Whippet and reports improved detection of multiple AS events.
Scientific Applications:
- Alternative Splicing Studies: Enables detailed analysis of splicing patterns in complex transcriptomes across sequencing platforms.
Methodology:
Computes a Percent Spliced-In (PSI) index from short-read and long-read RNA-seq data and benchmarks PSI quantification against real RNA-seq datasets (RNA Sequins) and comparator tools rMATS, SUPPA2, and Whippet.
Topics
Details
- License:
- Other
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 8/9/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Lin K, Krainer AR. PSI-Sigma: a comprehensive splicing-detection method for short-read and long-read RNA-seq analysis. Bioinformatics. 2019;35(23):5048-5054. doi:10.1093/bioinformatics/btz438. PMID:31135034. PMCID:PMC6901072.
PMID: 31135034
PMCID: PMC6901072
Funding: - National Cancer Institute: CA13106
- National Cancer Institute Cancer Center: 5P30CA045508
Documentation
Downloads
- Source codehttps://github.com/wososa/PSI-Sigma/releases
Links
Issue tracker
https://github.com/wososa/PSI-Sigma/issues