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

Bioinformatics. 2014 Oct;30(19):2808-10. doi: 10.1093/bioinformatics/btu379. Epub 2014 Jun 5.


Interpretation and communication of genomic data require flexible and quantitative tools to analyze and visualize diverse data types, and yet, a comprehensive tool to display all common genomic data types in publication quality figures does not exist to date. To address this shortcoming, we present Sushi.R, an R/Bioconductor package that allows flexible integration of genomic visualizations into highly customizable, publication-ready, multi-panel figures from common genomic data formats including Browser Extensible Data (BED), bedGraph and Browser Extensible Data Paired-End (BEDPE). Sushi.R is open source and made publicly available through GitHub ( and Bioconductor (

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computational Biology / methods
  • Genome-Wide Association Study
  • Genomics*
  • Internet
  • Programming Languages
  • Software*