Title |
OPTIMAS-DW: A comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for maize
|
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Published in |
BMC Plant Biology, December 2012
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DOI | 10.1186/1471-2229-12-245 |
Pubmed ID | |
Authors |
Christian Colmsee, Martin Mascher, Tobias Czauderna, Anja Hartmann, Urte Schlüter, Nina Zellerhoff, Jessica Schmitz, Andrea Bräutigam, Thea R Pick, Philipp Alter, Manfred Gahrtz, Sandra Witt, Alisdair R Fernie, Frederik Börnke, Holger Fahnenstich, Marcel Bucher, Thomas Dresselhaus, Andreas PM Weber, Falk Schreiber, Uwe Scholz, Uwe Sonnewald |
Abstract |
Maize is a major crop plant, grown for human and animal nutrition, as well as a renewable resource for bioenergy. When looking at the problems of limited fossil fuels, the growth of the world's population or the world's climate change, it is important to find ways to increase the yield and biomass of maize and to study how it reacts to specific abiotic and biotic stress situations. Within the OPTIMAS systems biology project maize plants were grown under a large set of controlled stress conditions, phenotypically characterised and plant material was harvested to analyse the effect of specific environmental conditions or developmental stages. Transcriptomic, metabolomic, ionomic and proteomic parameters were measured from the same plant material allowing the comparison of results across different omics domains. A data warehouse was developed to store experimental data as well as analysis results of the performed experiments. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 3 | 3% |
Colombia | 1 | 1% |
Belgium | 1 | 1% |
Unknown | 84 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 24 | 27% |
Student > Ph. D. Student | 16 | 18% |
Student > Master | 9 | 10% |
Professor | 6 | 7% |
Student > Doctoral Student | 6 | 7% |
Other | 21 | 24% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 50 | 56% |
Biochemistry, Genetics and Molecular Biology | 10 | 11% |
Computer Science | 4 | 4% |
Chemistry | 4 | 4% |
Environmental Science | 3 | 3% |
Other | 7 | 8% |
Unknown | 11 | 12% |