Title |
Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project
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Published in |
Genome Biology, March 2015
|
DOI | 10.1186/s13059-015-0622-4 |
Pubmed ID | |
Authors |
The FAANG Consortium, Leif Andersson, Alan L Archibald, Cynthia D Bottema, Rudiger Brauning, Shane C Burgess, Dave W Burt, Eduardo Casas, Hans H Cheng, Laura Clarke, Christine Couldrey, Brian P Dalrymple, Christine G Elsik, Sylvain Foissac, Elisabetta Giuffra, Martien A Groenen, Ben J Hayes, LuSheng S Huang, Hassan Khatib, James W Kijas, Heebal Kim, Joan K Lunney, Fiona M McCarthy, John C McEwan, Stephen Moore, Bindu Nanduri, Cedric Notredame, Yniv Palti, Graham S Plastow, James M Reecy, Gary A Rohrer, Elena Sarropoulou, Carl J Schmidt, Jeffrey Silverstein, Ross L Tellam, Michele Tixier-Boichard, Gwenola Tosser-Klopp, Christopher K Tuggle, Johanna Vilkki, Stephen N White, Shuhong Zhao, Huaijun Zhou |
Abstract |
We describe the organization of a nascent international effort, the Functional Annotation of Animal Genomes (FAANG) project, whose aim is to produce comprehensive maps of functional elements in the genomes of domesticated animal species. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 26% |
United States | 3 | 11% |
France | 3 | 11% |
Australia | 2 | 7% |
Canada | 1 | 4% |
Netherlands | 1 | 4% |
India | 1 | 4% |
Unknown | 9 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 48% |
Scientists | 13 | 48% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | <1% |
Hungary | 1 | <1% |
France | 1 | <1% |
Australia | 1 | <1% |
Finland | 1 | <1% |
United States | 1 | <1% |
Unknown | 203 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 55 | 26% |
Student > Ph. D. Student | 43 | 20% |
Student > Master | 26 | 12% |
Professor | 9 | 4% |
Student > Doctoral Student | 7 | 3% |
Other | 29 | 14% |
Unknown | 41 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 105 | 50% |
Biochemistry, Genetics and Molecular Biology | 32 | 15% |
Veterinary Science and Veterinary Medicine | 9 | 4% |
Computer Science | 7 | 3% |
Business, Management and Accounting | 2 | <1% |
Other | 7 | 3% |
Unknown | 48 | 23% |