title: Sushi.R: flexible, quantitative and integrative genomic visualizations for publication-quality multi-panel figures.
abstract: 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 (https://github.com/dphansti/Sushi) and Bioconductor (http://bioconductor.org/packages/release/bioc/html/Sushi.html).
authors.affiliation: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
authors.forename: Douglas H
authors.initials: DH
authors.lastname: Phanstiel
authors.affiliation: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
authors.forename: Alan P
authors.initials: AP
authors.lastname: Boyle
authors.affiliation: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
authors.forename: Carlos L
authors.initials: CL
authors.lastname: Araya
authors.affiliation: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
authors.forename: Michael P
authors.initials: MP
authors.lastname: Snyder
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D055106:Genome-Wide Association Study; D023281:Genomics; D020407:Internet; D011381:Programming Languages; D012984:Software