Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata

Leempoel Kevin; Parisod Christian; Geiser Céline; Joost Stéphane

doi:10.1002/ece3.3778

Published December 30, 2017 | Version v1

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Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata

1. EPFL
2. University of Bern
3. University of Neuchâtel

Genetic and Environmental datasets used to perform population structure, isolation-by-distance, and GLMM analysis. See the paper for abbreviations and units of DEM-derived variables.

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AFLP 2013 DEM variables Sel.txt

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AFLP 2013 DEM variables Sel.txt md5:c65107b5ea91c56a37fab04f7e33ac29	264.1 kB	Preview Download
AFLP RDN.txt md5:5b59cc8ad562973f9d5122bc2243cef8	207.1 kB	Preview Download

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Zenodo

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English

License: Creative Commons Attribution 4.0 International

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Created: December 30, 2017
Modified: January 21, 2020

Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata

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AFLP 2013 DEM variables Sel.txt

Files (471.3 kB)