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

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....

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Detalles Bibliográficos
Autores principales: Yin, Tengfei, Cook, Dianne, Lawrence, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053745/
https://www.ncbi.nlm.nih.gov/pubmed/22937822
http://dx.doi.org/10.1186/gb-2012-13-8-r77
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author Yin, Tengfei
Cook, Dianne
Lawrence, Michael
author_facet Yin, Tengfei
Cook, Dianne
Lawrence, Michael
author_sort Yin, Tengfei
collection PubMed
description 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 http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html.
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spelling pubmed-40537452014-06-13 ggbio: an R package for extending the grammar of graphics for genomic data Yin, Tengfei Cook, Dianne Lawrence, Michael Genome Biol Software 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 http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html. BioMed Central 2012 2012-08-31 /pmc/articles/PMC4053745/ /pubmed/22937822 http://dx.doi.org/10.1186/gb-2012-13-8-r77 Text en Copyright © 2012 Yin et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Yin, Tengfei
Cook, Dianne
Lawrence, Michael
ggbio: an R package for extending the grammar of graphics for genomic data
title ggbio: an R package for extending the grammar of graphics for genomic data
title_full ggbio: an R package for extending the grammar of graphics for genomic data
title_fullStr ggbio: an R package for extending the grammar of graphics for genomic data
title_full_unstemmed ggbio: an R package for extending the grammar of graphics for genomic data
title_short ggbio: an R package for extending the grammar of graphics for genomic data
title_sort ggbio: an r package for extending the grammar of graphics for genomic data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053745/
https://www.ncbi.nlm.nih.gov/pubmed/22937822
http://dx.doi.org/10.1186/gb-2012-13-8-r77
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