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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 | MNF-Jac-68 | 1981 | USA | Midwest | -86.1739 | 43.5187 |
| Arabidopsis thaliana | RMX413.29 | 8973 | USA | Midwest | -86.511 | 42.036 |
| Arabidopsis thaliana | MNF-Jac-2 | 1949 | USA | Midwest | -86.1739 | 43.5187 |
| Arabidopsis thaliana | MNF-Pot-69 | 1868 | USA | Midwest | -86.2657 | 43.595 |
| Arabidopsis thaliana | 11PNA3.63 | 8768 | USA | Midwest | -86.3253 | 42.0945 |
| Arabidopsis thaliana | ME3.41 | 7837 | USA | Midwest | -86.359 | 42.093 |
| Arabidopsis thaliana | RMX413.20 | 8966 | USA | Midwest | -86.511 | 42.036 |
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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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