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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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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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. |
format | Online Article Text |
id | pubmed-4053745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yintengfei ggbioanrpackageforextendingthegrammarofgraphicsforgenomicdata AT cookdianne ggbioanrpackageforextendingthegrammarofgraphicsforgenomicdata AT lawrencemichael ggbioanrpackageforextendingthegrammarofgraphicsforgenomicdata |