ggbio: An R package for extending the grammar of graphics for genomic data

Tengfei Yin, Dianne Cook, Michael Lawrence

Research output: Contribution to journalArticleResearchpeer-review

129 Citations (Scopus)

Abstract

We introduce \ggbio{}, a new methodology to visualize and explore genomics annotations and high-throughput data. The plots provide detailed views of genomic regions, summary views of sequence alignments and splicing patterns, and genome-wide overviews with karyogram, circular and grand linear layouts. The methods leverage the statistical functionality available in \R{}, the grammar of graphics and the data handling capabilities of the Bioconductor project. The plots are specified within a modular framework that enables users to construct plots in a systematic way, and are generated directly from Bioconductor data structures. The \ggbio{} \R{} package is available at \url{http://tengfei.github.com/ggbio/}.

Original languageEnglish
Article numberR77
Number of pages14
JournalGenome Biology
Volume13
DOIs
Publication statusPublished - 31 Aug 2012
Externally publishedYes

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