Title |
High-performance web services for querying gene and variant annotation
|
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Published in |
Genome Biology, May 2016
|
DOI | 10.1186/s13059-016-0953-9 |
Pubmed ID | |
Authors |
Jiwen Xin, Adam Mark, Cyrus Afrasiabi, Ginger Tsueng, Moritz Juchler, Nikhil Gopal, Gregory S. Stupp, Timothy E. Putman, Benjamin J. Ainscough, Obi L. Griffith, Ali Torkamani, Patricia L. Whetzel, Christopher J. Mungall, Sean D. Mooney, Andrew I. Su, Chunlei Wu |
Abstract |
Efficient tools for data management and integration are essential for many aspects of high-throughput biology. In particular, annotations of genes and human genetic variants are commonly used but highly fragmented across many resources. Here, we describe MyGene.info and MyVariant.info, high-performance web services for querying gene and variant annotation information. These web services are currently accessed more than three million times permonth. They also demonstrate a generalizable cloud-based model for organizing and querying biological annotation information. MyGene.info and MyVariant.info are provided as high-performance web services, accessible at http://mygene.info and http://myvariant.info . Both are offered free of charge to the research community. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 16% |
United States | 5 | 11% |
Italy | 2 | 5% |
Spain | 2 | 5% |
Australia | 2 | 5% |
Taiwan | 1 | 2% |
Belgium | 1 | 2% |
Canada | 1 | 2% |
Austria | 1 | 2% |
Other | 3 | 7% |
Unknown | 19 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 26 | 59% |
Scientists | 17 | 39% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Spain | 3 | 2% |
Czechia | 1 | <1% |
Germany | 1 | <1% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 159 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 22% |
Researcher | 38 | 22% |
Student > Bachelor | 19 | 11% |
Student > Master | 18 | 11% |
Other | 10 | 6% |
Other | 22 | 13% |
Unknown | 25 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 50 | 29% |
Agricultural and Biological Sciences | 43 | 25% |
Computer Science | 27 | 16% |
Medicine and Dentistry | 6 | 4% |
Engineering | 4 | 2% |
Other | 12 | 7% |
Unknown | 28 | 16% |