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easyGWAS is a web application provided by the Machine Learning and Computational Biology Research Lab © 2012-2022 Machine Learning and Computational Biology Research Lab, Department of Biosystems Science and Engineering, ETH Zürich, Switzerland |
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| Species | sample name | sample id | country | region | longitude | latitude |
|---|---|---|---|---|---|---|
| Arabidopsis thaliana | LAC-5 | 96 | FRA | Western Europe | 6.81667 | 47.7 |
| Arabidopsis thaliana | Ale-Stenar-41-1 | 991 | SWE | S Sweden | 14.05 | 55.3833 |
| Arabidopsis thaliana | Ale-Stenar-44-4 | 992 | SWE | S Sweden | 14.05 | 55.3833 |
| Arabidopsis thaliana | Ale-Stenar-50-11 | 996 | SWE | S Sweden | 14.05 | 55.3833 |
| Arabidopsis thaliana | Ale-Stenar-56-14 | 997 | SWE | S Sweden | 14.05 | 55.3833 |
| Arabidopsis thaliana | Ale-Stenar-57-16 | 998 | SWE | S Sweden | 14.05 | 55.3833 |
| Arabidopsis thaliana | Ale-Stenar-59-18 | 999 | SWE | S Sweden | 14.05 | 55.3833 |
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easyGWAS is a web application provided by the Machine Learning and Computational Biology Research Lab © 2012-2022 Machine Learning and Computational Biology Research Lab, Department of Biosystems Science and Engineering, ETH Zürich, Switzerland |
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