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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 | Lp2-2 | 7520 | CZE | Moravia | 16.81 | 49.38 |
| Arabidopsis thaliana | Lp2-6 | 7521 | CZE | Moravia | 16.81 | 49.38 |
| Arabidopsis thaliana | Mr-0 | 7522 | ITA | Southern Europe | 9.65 | 44.15 |
| Arabidopsis thaliana | Rmx-A02 | 7524 | USA | Midwest | -86.511 | 42.036 |
| Arabidopsis thaliana | Rmx-A180 | 7525 | USA | Midwest | -86.511 | 42.036 |
| Arabidopsis thaliana | Pna-10 | 7526 | USA | Midwest | -86.3253 | 42.0945 |
| Arabidopsis thaliana | Pro-0 | 8213 | ESP | Southern Europe | -6.0 | 43.25 |
| Arabidopsis thaliana | Gy-0 | 8214 | FRA | Western Europe | 2.0 | 49.0 |
| Arabidopsis thaliana | Kas-2 | 8424 | IND | South Asia | 77.0 | 35.0 |
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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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