Title |
GenVisR: Genomic Visualizations in R
|
---|---|
Published in |
Bioinformatics, June 2016
|
DOI | 10.1093/bioinformatics/btw325 |
Pubmed ID | |
Authors |
Zachary L Skidmore, Alex H Wagner, Robert Lesurf, Katie M Campbell, Jason Kunisaki, Obi L Griffith, Malachi Griffith |
Abstract |
Visualizing and summarizing data from genomic studies continues to be a challenge. Here we introduce the GenVisR package to addresses this challenge by providing highly customizable, publication-quality graphics focused on cohort level genome analyses. GenVisR provides a rapid and easy-to-use suite of genomic visualization tools, while maintaining a high degree of flexibility by leveraging the abilities of ggplot2 and Bioconductor. GenVisR is an R package available via Bioconductor (https://bioconductor.org/packages/GenVisR) under GPLv3. Support is available via GitHub (https://github.com/griffithlab/GenVisR/issues) and the Bioconductor support website. [email protected], [email protected]. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 39% |
Germany | 4 | 12% |
United Kingdom | 2 | 6% |
Taiwan | 1 | 3% |
Greece | 1 | 3% |
Canada | 1 | 3% |
Spain | 1 | 3% |
Italy | 1 | 3% |
Australia | 1 | 3% |
Other | 1 | 3% |
Unknown | 7 | 21% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 22 | 67% |
Members of the public | 10 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Spain | 2 | <1% |
France | 2 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
Belgium | 1 | <1% |
Netherlands | 1 | <1% |
Greece | 1 | <1% |
Other | 1 | <1% |
Unknown | 193 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 54 | 26% |
Researcher | 53 | 25% |
Student > Master | 26 | 13% |
Student > Bachelor | 17 | 8% |
Other | 13 | 6% |
Other | 26 | 13% |
Unknown | 19 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 62 | 30% |
Agricultural and Biological Sciences | 60 | 29% |
Medicine and Dentistry | 29 | 14% |
Computer Science | 19 | 9% |
Immunology and Microbiology | 2 | <1% |
Other | 11 | 5% |
Unknown | 25 | 12% |