Title |
GeneDig: a web application for accessing genomic and bioinformatics knowledge
|
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Published in |
BMC Bioinformatics, February 2015
|
DOI | 10.1186/s12859-015-0497-0 |
Pubmed ID | |
Authors |
Radu M Suciu, Emir Aydin, Brian E Chen |
Abstract |
With the exponential increase and widespread availability of genomic, transcriptomic, and proteomic data, accessing these '-omics' data is becoming increasingly difficult. The current resources for accessing and analyzing these data have been created to perform highly specific functions intended for specialists, and thus typically emphasize functionality over user experience. We have developed a web-based application, GeneDig.org, that allows any general user access to genomic information with ease and efficiency. GeneDig allows for searching and browsing genes and genomes, while a dynamic navigator displays genomic, RNA, and protein information simultaneously for co-navigation. We demonstrate that our application allows more than five times faster and efficient access to genomic information than any currently available methods. We have developed GeneDig as a platform for bioinformatics integration focused on usability as its central design. This platform will introduce genomic navigation to broader audiences while aiding the bioinformatics analyses performed in everyday biology research. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 30% |
United Kingdom | 3 | 13% |
Spain | 3 | 13% |
India | 1 | 4% |
Mexico | 1 | 4% |
Canada | 1 | 4% |
Norway | 1 | 4% |
France | 1 | 4% |
Unknown | 5 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 52% |
Scientists | 11 | 48% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Brazil | 1 | 2% |
Singapore | 1 | 2% |
Spain | 1 | 2% |
Japan | 1 | 2% |
United States | 1 | 2% |
Unknown | 58 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 29 | 45% |
Student > Ph. D. Student | 14 | 22% |
Student > Bachelor | 5 | 8% |
Professor > Associate Professor | 4 | 6% |
Student > Master | 4 | 6% |
Other | 6 | 9% |
Unknown | 3 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 28 | 43% |
Computer Science | 9 | 14% |
Biochemistry, Genetics and Molecular Biology | 8 | 12% |
Medicine and Dentistry | 3 | 5% |
Neuroscience | 2 | 3% |
Other | 7 | 11% |
Unknown | 8 | 12% |