Sushi.R: flexible, quantitative and integrative genomic visualizations for publication-quality multi-panel figures

Area of Science:

• Genomics
• Bioinformatics
• Data Visualization

Background:

• Genomic data interpretation and communication demand versatile analytical and visualization tools.
• Existing tools lack the capability to display all common genomic data types in publication-quality figures.
• A gap exists in comprehensive software for integrated genomic data visualization.

Purpose of the Study:

• To introduce Sushi.R, an R/Bioconductor package designed for flexible genomic data visualization.
• To provide a tool for creating customizable, publication-ready multi-panel figures.
• To address the need for a unified solution for diverse genomic data formats.

Main Methods:

• Sushi.R integrates genomic visualizations from common data formats.
• Supports Browser Extensible Data (BED), bedGraph, and Browser Extensible Data Paired-End (BEDPE) formats.
• Offers highly customizable, multi-panel figure generation capabilities.

Main Results:

• Sushi.R enables flexible integration of various genomic data visualizations.
• Facilitates the creation of publication-quality figures from diverse genomic data.
• Provides a comprehensive solution for visualizing common genomic data types.

Conclusions:

• Sushi.R addresses the need for a flexible and quantitative tool for genomic data visualization.
• The package enhances the interpretation and communication of genomic data through customizable figures.
• Sushi.R is an open-source tool available on GitHub and Bioconductor for the scientific community.