Title |
Biocuration of functional annotation at the European nucleotide archive
|
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Published in |
Nucleic Acids Research, November 2015
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DOI | 10.1093/nar/gkv1311 |
Pubmed ID | |
Authors |
Richard Gibson, Blaise Alako, Clara Amid, Ana Cerdeño-Tárraga, Iain Cleland, Neil Goodgame, Petra ten Hoopen, Suran Jayathilaka, Simon Kay, Rasko Leinonen, Xin Liu, Swapna Pallreddy, Nima Pakseresht, Jeena Rajan, Marc Rosselló, Nicole Silvester, Dmitriy Smirnov, Ana Luisa Toribio, Daniel Vaughan, Vadim Zalunin, Guy Cochrane |
Abstract |
The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) is a repository for the submission, maintenance and presentation of nucleotide sequence data and related sample and experimental information. In this article we report on ENA in 2015 regarding general activity, notable published data sets and major achievements. This is followed by a focus on sustainable biocuration of functional annotation, an area which has particularly felt the pressure of sequencing growth. The importance of functional annotation, how it can be submitted and the shifting role of the biocurator in the context of increasing volumes of data are all discussed. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
United States | 1 | 4% |
Germany | 1 | 4% |
Unknown | 24 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 33% |
Student > Master | 4 | 15% |
Other | 3 | 11% |
Student > Bachelor | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Other | 4 | 15% |
Unknown | 3 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 33% |
Biochemistry, Genetics and Molecular Biology | 7 | 26% |
Computer Science | 5 | 19% |
Engineering | 2 | 7% |
Arts and Humanities | 1 | 4% |
Other | 0 | 0% |
Unknown | 3 | 11% |