INTEGRATING PHENOTYPE, GENOTYPE, AND
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
ENVIRONMENTAL DATA FOR GEOREFERENCED PLANTS
| Long-lived and sessile plant species serve as ideal models to assess population structure and adaptation to the environment. Despite the availability of comprehensive data, the researchers who study them are challenged to integrate data describing genotype, phenotype, and the environment. Towards this goal, the web application CartograTree (now known as CartograPlant), was designed and implemented as an open repository and open-source analytic web-based framework for all three. | ||||||||||||||||
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25,610,421 plants |
746 species |
319 genera |
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1,110,095,882 genotypes |
1,922,862 phenotypes |
988 map layers |
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416
studies
from 43 countries |
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Current Curation Team
| Meghan Myles | 45,599 plants |
| Rachel Wolther | 43,358 plants |
| Isabella Harding | 29,014 plants |
| Jeffrey Gamer | 17,861 plants |
| Madison Gadomski | 13,636 plants |
Curation Alumni
| Charles Demurjian | 66,367 plants |
| Emily Strickland | 32,676 plants |
| Victoria Burton | 25,693 plants |
| Isaac McEvoy | 6,676 plants |
| Barnaly Pande | 5,030 plants |
External Submissions
| Pyke, Graham, et al. | 24 plants |
| E., Wyatt, Graham, et al. | 626 plants |
| Suzuki, Setsuko,, et al. | 658 plants |
| Minh, Nguyen, Tam, et al. | 234 plants |
| Shota, Sakaguchi,, et al. | 8,876 plants |