Title |
JBrowse: a dynamic web platform for genome visualization and analysis
|
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Published in |
Genome Biology, April 2016
|
DOI | 10.1186/s13059-016-0924-1 |
Pubmed ID | |
Authors |
Robert Buels, Eric Yao, Colin M. Diesh, Richard D. Hayes, Monica Munoz-Torres, Gregg Helt, David M. Goodstein, Christine G. Elsik, Suzanna E. Lewis, Lincoln Stein, Ian H. Holmes |
Abstract |
JBrowse is a fast and full-featured genome browser built with JavaScript and HTML5. It is easily embedded into websites or apps but can also be served as a standalone web page. Overall improvements to speed and scalability are accompanied by specific enhancements that support complex interactive queries on large track sets. Analysis functions can readily be added using the plugin framework; most visual aspects of tracks can also be customized, along with clicks, mouseovers, menus, and popup boxes. JBrowse can also be used to browse local annotation files offline and to generate high-resolution figures for publication. JBrowse is a mature web application suitable for genome visualization and analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 35% |
Germany | 3 | 7% |
United Kingdom | 3 | 7% |
Belgium | 1 | 2% |
Georgia | 1 | 2% |
Chile | 1 | 2% |
Australia | 1 | 2% |
Spain | 1 | 2% |
Cameroon | 1 | 2% |
Other | 3 | 7% |
Unknown | 13 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 22 | 51% |
Members of the public | 19 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | <1% |
China | 2 | <1% |
France | 1 | <1% |
Korea, Republic of | 1 | <1% |
New Zealand | 1 | <1% |
Switzerland | 1 | <1% |
Spain | 1 | <1% |
Canada | 1 | <1% |
Unknown | 410 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 94 | 22% |
Student > Ph. D. Student | 73 | 17% |
Student > Master | 42 | 10% |
Student > Bachelor | 40 | 9% |
Other | 23 | 5% |
Other | 63 | 15% |
Unknown | 87 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 132 | 31% |
Biochemistry, Genetics and Molecular Biology | 104 | 25% |
Computer Science | 29 | 7% |
Immunology and Microbiology | 10 | 2% |
Engineering | 8 | 2% |
Other | 30 | 7% |
Unknown | 109 | 26% |