Title |
Tavaxy: Integrating Taverna and Galaxy workflows with cloud computing support
|
---|---|
Published in |
BMC Bioinformatics, May 2012
|
DOI | 10.1186/1471-2105-13-77 |
Pubmed ID | |
Authors |
Mohamed Abouelhoda, Shadi Alaa Issa, Moustafa Ghanem |
Abstract |
Over the past decade the workflow system paradigm has evolved as an efficient and user-friendly approach for developing complex bioinformatics applications. Two popular workflow systems that have gained acceptance by the bioinformatics community are Taverna and Galaxy. Each system has a large user-base and supports an ever-growing repository of application workflows. However, workflows developed for one system cannot be imported and executed easily on the other. The lack of interoperability is due to differences in the models of computation, workflow languages, and architectures of both systems. This lack of interoperability limits sharing of workflows between the user communities and leads to duplication of development efforts. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 11% |
United Kingdom | 3 | 11% |
Sweden | 2 | 7% |
Germany | 2 | 7% |
Netherlands | 1 | 4% |
France | 1 | 4% |
Hungary | 1 | 4% |
Japan | 1 | 4% |
Bosnia and Herzegovina | 1 | 4% |
Other | 1 | 4% |
Unknown | 11 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 56% |
Scientists | 11 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
France | 3 | 2% |
Brazil | 3 | 2% |
United Kingdom | 3 | 2% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
Colombia | 1 | <1% |
Sweden | 1 | <1% |
Other | 6 | 4% |
Unknown | 146 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 46 | 27% |
Researcher | 45 | 27% |
Student > Master | 14 | 8% |
Professor > Associate Professor | 13 | 8% |
Student > Bachelor | 9 | 5% |
Other | 29 | 17% |
Unknown | 13 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 68 | 40% |
Agricultural and Biological Sciences | 54 | 32% |
Biochemistry, Genetics and Molecular Biology | 12 | 7% |
Medicine and Dentistry | 7 | 4% |
Engineering | 6 | 4% |
Other | 10 | 6% |
Unknown | 12 | 7% |