Title |
Bioinformatics clouds for big data manipulation
|
---|---|
Published in |
Biology Direct, November 2012
|
DOI | 10.1186/1745-6150-7-43 |
Pubmed ID | |
Authors |
Lin Dai, Xin Gao, Yan Guo, Jingfa Xiao, Zhang Zhang |
Abstract |
As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 28% |
United Kingdom | 4 | 14% |
Germany | 2 | 7% |
France | 2 | 7% |
Canada | 1 | 3% |
China | 1 | 3% |
Comoros | 1 | 3% |
South Africa | 1 | 3% |
Sweden | 1 | 3% |
Other | 3 | 10% |
Unknown | 5 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 48% |
Scientists | 12 | 41% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 4% |
United Kingdom | 5 | 1% |
France | 4 | 1% |
Brazil | 4 | 1% |
Netherlands | 3 | <1% |
Korea, Republic of | 2 | <1% |
Germany | 2 | <1% |
Spain | 2 | <1% |
Panama | 1 | <1% |
Other | 8 | 2% |
Unknown | 317 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 83 | 23% |
Student > Master | 78 | 22% |
Student > Ph. D. Student | 68 | 19% |
Student > Bachelor | 35 | 10% |
Other | 15 | 4% |
Other | 54 | 15% |
Unknown | 28 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 120 | 33% |
Agricultural and Biological Sciences | 101 | 28% |
Biochemistry, Genetics and Molecular Biology | 38 | 11% |
Engineering | 18 | 5% |
Medicine and Dentistry | 11 | 3% |
Other | 36 | 10% |
Unknown | 37 | 10% |