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Related Experiment Video

Updated: Jun 6, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

RNApysoforms: Fast rendering interactive visualization of RNA isoform structure and expression in Python.

Bernardo Aguzzoli Heberle^1,2, Madeline L Page¹, Emil K Gustavsson^3,4

¹Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.

Biorxiv : the Preprint Server for Biology

|November 22, 2024

Summary

This summary is machine-generated.

RNApysoforms is a new Python package for visualizing RNA (ribonucleic acid) isoforms and their expression. It offers interactive, customizable, and fast rendering for enhanced genetic diversity analysis.

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Last Updated: Jun 6, 2025

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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Area of Science:

Bioinformatics
Molecular Biology
Computational Biology

Background:

Alternative splicing significantly increases genetic diversity by producing multiple RNA isoforms from a single gene, impacting gene function.
Current visualization tools for RNA isoforms and their expression patterns are limited, lacking programmability, customization, or the ability to display both structure and expression simultaneously.

Purpose of the Study:

To develop a novel Python-based package, RNApysoforms, for the concurrent visualization of RNA isoform structures and expression data.
To address the limitations of existing tools by providing an interactive, customizable, and efficient visualization framework.

Main Methods:

Developed RNApysoforms as a Python package utilizing plotly for interactive visualizations and polars for efficient data handling.
Designed the package to enable simultaneous display of RNA isoform structures and their corresponding expression levels.

Main Results:

RNApysoforms provides a programmable and customizable framework for visualizing RNA isoforms and expression data.
The package offers faster rendering compared to existing solutions and is suitable for integration into web applications.

Conclusions:

RNApysoforms enhances the analysis and dissemination of RNA isoform research by offering a superior visualization tool.
The package overcomes key limitations of current genome browsers and visualization software, facilitating a deeper understanding of genetic diversity.