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easyGWAS is a web application provided by the Machine Learning and Computational Biology Research Lab © 2012-2023 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 | Tamm-27 | 6969 | FIN | Northern Europe | 23.5 | 60.0 |
| Arabidopsis thaliana | Oy-0 | 6946 | NOR | Northern Europe | 6.13 | 60.23 |
| Arabidopsis thaliana | N13 | 7438 | RUS | — | 34.15 | 61.36 |
| Arabidopsis thaliana | Eden-1 | 6009 | SWE | N Sweden | 18.177 | 62.877 |
| Arabidopsis thaliana | Eden-2 | 6913 | SWE | N Sweden | 18.177 | 62.877 |
| Arabidopsis thaliana | Fäb-4 | 6918 | SWE | N Sweden | 18.3174 | 63.0165 |
| Arabidopsis thaliana | Fäb-2 | 6917 | SWE | N Sweden | 18.3174 | 63.0165 |
| Arabidopsis thaliana | Bil-7 | 6901 | SWE | N Sweden | 18.484 | 63.324 |
| Arabidopsis thaliana | Bil-5 | 6900 | SWE | N Sweden | 18.484 | 63.324 |
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easyGWAS is a web application provided by the Machine Learning and Computational Biology Research Lab © 2012-2023 Machine Learning and Computational Biology Research Lab, Department of Biosystems Science and Engineering, ETH Zürich, Switzerland |
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