Title |
Glycomics@ExPASy: Bridging the Gap*
|
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Published in |
Molecular and Cellular Proteomics, August 2018
|
DOI | 10.1074/mcp.ra118.000799 |
Pubmed ID | |
Authors |
Julien Mariethoz, Davide Alocci, Alessandra Gastaldello, Oliver Horlacher, Elisabeth Gasteiger, Miguel Rojas-Macias, Niclas G. Karlsson, Nicolle H. Packer, Frédérique Lisacek |
Abstract |
Glycomics@ExPASy (https://www.expasy.org/glycomics) is the glycomics tab of ExPASy, the server of SIB Swiss Institute of Bioinformatics. It was created in 2016 to centralise web-based glycoinformatics resources developed within an international network of glycoscientists. The hosted collection currently includes mainly databases and tools created and maintained at SIB but also links to a range of reference resources popular in the glycomics community. The philosophy of our toolbox is that it should be {glycoscientist AND protein scientist}-friendly with the aim of (a) popularising the use of bioinformatics in glycobiology and (b) emphasising the relationship between glycobiology and protein-oriented bioinformatics resources. The scarcity of data bridging these two disciplines led us to design tools as interactive as possible based on database connectivity in order to facilitate data exploration and support hypothesis building. Glycomics@ExPASy was designed, and is developed, with a long-term vision in close collaboration with glycoscientists to meet as closely as possible the growing needs of the community for glycoinformatics. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 27% |
Switzerland | 3 | 6% |
Sweden | 2 | 4% |
Mexico | 1 | 2% |
Georgia | 1 | 2% |
India | 1 | 2% |
Spain | 1 | 2% |
Canada | 1 | 2% |
United Kingdom | 1 | 2% |
Other | 4 | 8% |
Unknown | 21 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 55% |
Scientists | 19 | 39% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 16% |
Student > Ph. D. Student | 7 | 16% |
Student > Bachelor | 4 | 9% |
Professor | 4 | 9% |
Other | 4 | 9% |
Other | 6 | 14% |
Unknown | 11 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 16 | 37% |
Agricultural and Biological Sciences | 4 | 9% |
Engineering | 2 | 5% |
Medicine and Dentistry | 2 | 5% |
Computer Science | 2 | 5% |
Other | 3 | 7% |
Unknown | 14 | 33% |