Title |
Web-based visual analysis for high-throughput genomics
|
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Published in |
BMC Genomics, June 2013
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DOI | 10.1186/1471-2164-14-397 |
Pubmed ID | |
Authors |
Jeremy Goecks, Carl Eberhard, Tomithy Too, The Galaxy Team, Anton Nekrutenko, James Taylor |
Abstract |
Visualization plays an essential role in genomics research by making it possible to observe correlations and trends in large datasets as well as communicate findings to others. Visual analysis, which combines visualization with analysis tools to enable seamless use of both approaches for scientific investigation, offers a powerful method for performing complex genomic analyses. However, there are numerous challenges that arise when creating rich, interactive Web-based visualizations/visual analysis applications for high-throughput genomics. These challenges include managing data flow from Web server to Web browser, integrating analysis tools and visualizations, and sharing visualizations with colleagues. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 21% |
Canada | 5 | 13% |
United Kingdom | 5 | 13% |
Sweden | 1 | 3% |
Italy | 1 | 3% |
Australia | 1 | 3% |
Norway | 1 | 3% |
Hong Kong | 1 | 3% |
Japan | 1 | 3% |
Other | 1 | 3% |
Unknown | 13 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 22 | 58% |
Members of the public | 12 | 32% |
Science communicators (journalists, bloggers, editors) | 3 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 5% |
Brazil | 4 | 2% |
France | 3 | 1% |
Netherlands | 2 | <1% |
Australia | 2 | <1% |
Sweden | 2 | <1% |
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
Russia | 2 | <1% |
Other | 8 | 4% |
Unknown | 176 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 69 | 32% |
Student > Ph. D. Student | 41 | 19% |
Student > Master | 24 | 11% |
Student > Bachelor | 14 | 7% |
Professor | 12 | 6% |
Other | 33 | 15% |
Unknown | 21 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 113 | 53% |
Biochemistry, Genetics and Molecular Biology | 29 | 14% |
Computer Science | 20 | 9% |
Medicine and Dentistry | 8 | 4% |
Engineering | 4 | 2% |
Other | 11 | 5% |
Unknown | 29 | 14% |