Title |
The grapevine gene nomenclature system
|
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Published in |
BMC Genomics, December 2014
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DOI | 10.1186/1471-2164-15-1077 |
Pubmed ID | |
Authors |
Jérôme Grimplet, Anne-Françoise Adam-Blondon, Pierre-François Bert, Oliver Bitz, Dario Cantu, Christopher Davies, Serge Delrot, Mario Pezzotti, Stéphane Rombauts, Grant R Cramer |
Abstract |
Grapevine (Vitis vinifera L.) is one of the most important fruit crops in the world and serves as a valuable model for fruit development in woody species. A major breakthrough in grapevine genomics was achieved in 2007 with the sequencing of the Vitis vinifera cv. PN40024 genome. Subsequently, data on structural and functional characterization of grape genes accumulated exponentially. To better exploit the results obtained by the international community, we think that a coordinated nomenclature for gene naming in species with sequenced genomes is essential. It will pave the way for the accumulation of functional data that will enable effective scientific discussion and discovery. The exploitation of data that were generated independently of the genome release is hampered by their heterogeneous nature and by often incompatible and decentralized storage. Classically, large amounts of data describing gene functions are only available in printed articles and therefore remain hardly accessible for automatic text mining. On the other hand, high throughput "Omics" data are typically stored in public repositories, but should be arranged in compendia to better contribute to the annotation and functional characterization of the genes. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Belgium | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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New Zealand | 1 | <1% |
United States | 1 | <1% |
Uruguay | 1 | <1% |
Germany | 1 | <1% |
Unknown | 115 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 32 | 27% |
Student > Ph. D. Student | 23 | 19% |
Student > Doctoral Student | 11 | 9% |
Student > Master | 9 | 8% |
Student > Bachelor | 7 | 6% |
Other | 23 | 19% |
Unknown | 14 | 12% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 83 | 70% |
Biochemistry, Genetics and Molecular Biology | 9 | 8% |
Medicine and Dentistry | 2 | 2% |
Environmental Science | 2 | 2% |
Computer Science | 2 | 2% |
Other | 6 | 5% |
Unknown | 15 | 13% |