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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 | Vår2-1 | 7516 | SWE | S Sweden | 14.334 | 55.58 |
| Arabidopsis thaliana | Vår2-6 | 7517 | SWE | S Sweden | 14.334 | 55.58 |
| Arabidopsis thaliana | Wa-1 | 6978 | POL | Eastern Europe | 21.0 | 52.3 |
| Arabidopsis thaliana | Wei-0 | 6979 | SUI | Western Europe | 8.26 | 47.25 |
| Arabidopsis thaliana | Ws-0 | 6980 | RUS | Eastern Europe | 30.0 | 52.3 |
| Arabidopsis thaliana | Ws-2 | 6981 | RUS | Eastern Europe | 30.0 | 52.3 |
| Arabidopsis thaliana | Yo-0 | 6983 | USA | Northern California | -119.35 | 37.45 |
| Arabidopsis thaliana | Zdr-1 | 6984 | CZE | Moravia | 16.2544 | 49.3853 |
| Arabidopsis thaliana | Zdr-6 | 6985 | CZE | Moravia | 16.2544 | 49.3853 |
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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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