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Related Experiment Video

Updated: Aug 8, 2025

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

RNA splicing analysis using heterogeneous and large RNA-seq datasets.

Jorge Vaquero-Garcia¹, Joseph K Aicher^1,2, San Jewell¹

¹Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.

Nature Communications

|March 3, 2023

Summary

This summary is machine-generated.

MAJIQ v2 offers advanced tools for analyzing RNA splicing variations in large, complex datasets. This new package effectively detects, quantifies, and visualizes splicing changes, providing deeper biological insights.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

RNA sequencing (RNA-seq) enables RNA splicing variation analysis.
Existing methods struggle with large, heterogeneous datasets and complex transcriptomes.

Purpose of the Study:

To introduce MAJIQ v2, a suite of algorithms and tools for analyzing splicing variations.
To address challenges in detecting, quantifying, and visualizing splicing changes in large-scale datasets.

Main Methods:

Development and implementation of the MAJIQ v2 package.
Assessment using large-scale synthetic data and the GTEx v8 dataset.
Application to analyze differential splicing in 2,335 brain samples.

Main Results:

MAJIQ v2 demonstrates advantages over existing methods for analyzing large datasets.
The package successfully detects and quantifies splicing variations in complex transcriptomes.
Analysis of brain subregions revealed specific splicing regulation patterns.

Conclusions:

MAJIQ v2 is a powerful tool for handling large-scale RNA splicing analysis.
The package provides valuable insights into complex biological systems, such as brain subregion-specific splicing.