Title |
ggbio: an R package for extending the grammar of graphics for genomic data
|
---|---|
Published in |
Genome Biology, August 2012
|
DOI | 10.1186/gb-2012-13-8-r77 |
Pubmed ID | |
Authors |
Tengfei Yin, Dianne Cook, Michael Lawrence |
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 http://www.bioconductor.org/packages/2.11/bioc/html/ggbio.html. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 18% |
United Kingdom | 4 | 12% |
Spain | 3 | 9% |
Denmark | 1 | 3% |
Finland | 1 | 3% |
Mexico | 1 | 3% |
Germany | 1 | 3% |
Zimbabwe | 1 | 3% |
China | 1 | 3% |
Other | 4 | 12% |
Unknown | 11 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 17 | 50% |
Members of the public | 15 | 44% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 4% |
Germany | 3 | <1% |
Spain | 3 | <1% |
United Kingdom | 3 | <1% |
Brazil | 3 | <1% |
France | 2 | <1% |
Colombia | 2 | <1% |
Canada | 2 | <1% |
Australia | 1 | <1% |
Other | 10 | 2% |
Unknown | 421 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 136 | 29% |
Student > Ph. D. Student | 135 | 29% |
Student > Master | 45 | 10% |
Student > Bachelor | 26 | 6% |
Student > Doctoral Student | 22 | 5% |
Other | 79 | 17% |
Unknown | 25 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 270 | 58% |
Biochemistry, Genetics and Molecular Biology | 86 | 18% |
Computer Science | 24 | 5% |
Medicine and Dentistry | 16 | 3% |
Mathematics | 7 | 1% |
Other | 31 | 7% |
Unknown | 34 | 7% |