SpliceTools

SpliceTools analyzes transcriptome-wide alternative splicing (AS) from RNA sequencing (RNA-seq) data to generate summary statistics, provide mechanistic insights, and assess functional consequences.


Key Features:

  • Data Processing Modules: Includes modules that streamline analysis of large RNA-seq datasets to derive interpretable splicing results.
  • Summary Statistics: Produces summary statistics of alternative splicing events across samples and experimental conditions.
  • Mechanistic Insights: Distinguishes splicing disruptions from regulated transcript isoform changes and aids interpretation of splicing inhibition mechanisms.
  • Functional Impact Assessment: Assesses functional consequences of AS events, including effects on cell cycle progression.

Scientific Applications:

  • Pharmacologic Studies: Analyzes the transcriptome footprint of pharmacologic splicing inhibitors such as indisulam and helps identify predicted neo-epitopes arising from such interventions.
  • Gene Knockdown and NMD Inhibition: Applied to RNA binding protein knockdowns (including a dataset of 186 knockdowns) and nonsense-mediated RNA decay (NMD) inhibition to study AS dynamics.

Methodology:

Analyzes RNA-seq datasets from experimental conditions including 186 RNA binding protein knockdowns, nonsense-mediated RNA decay inhibition, and pharmacologic splicing inhibition to characterize AS events across biological contexts.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Perl
Added:
9/19/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Alternative splicing prediction

Publications

Flemington EK, Flemington SA, O’Grady TM, Baddoo M, Nguyen T, Dong Y, Ungerleider NA. SpliceTools, a suite of downstream RNA splicing analysis tools to investigate mechanisms and impact of alternative splicing. Nucleic Acids Research. 2023;51(7):e42-e42. doi:10.1093/nar/gkad111. PMID:36864749. PMCID:PMC10123099.

PMID: 36864749
Funding: - NIH: P01CA214091, R01 CA272142, R01CA243793, R01CA262090 - Department of Defense: W81XWH-16-1-0317, W81XWH-16-1-0318, W81XWH-20-1-0517

Links