Title |
Ensembl variation resources
|
---|---|
Published in |
BMC Genomics, May 2010
|
DOI | 10.1186/1471-2164-11-293 |
Pubmed ID | |
Authors |
Yuan Chen, Fiona Cunningham, Daniel Rios, William M McLaren, James Smith, Bethan Pritchard, Giulietta M Spudich, Simon Brent, Eugene Kulesha, Pablo Marin-Garcia, Damian Smedley, Ewan Birney, Paul Flicek |
Abstract |
The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multiple individuals of a given species with the goal of discovering new variants and characterising the population frequencies of the variants that are already known. These data have immense value for many studies, including those designed to understand evolution and connect genotype to phenotype. Maximising the utility of the data requires that it be stored in an accessible manner that facilitates the integration of variation data with other genome resources such as gene annotation and comparative genomics. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 5% |
United States | 5 | 3% |
Brazil | 5 | 3% |
France | 2 | 1% |
Spain | 2 | 1% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
New Zealand | 1 | <1% |
Norway | 1 | <1% |
Other | 4 | 2% |
Unknown | 147 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 50 | 28% |
Student > Ph. D. Student | 34 | 19% |
Student > Master | 23 | 13% |
Student > Bachelor | 18 | 10% |
Professor > Associate Professor | 9 | 5% |
Other | 26 | 15% |
Unknown | 17 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 82 | 46% |
Biochemistry, Genetics and Molecular Biology | 35 | 20% |
Computer Science | 16 | 9% |
Medicine and Dentistry | 12 | 7% |
Arts and Humanities | 4 | 2% |
Other | 10 | 6% |
Unknown | 18 | 10% |