Publikationen von M Exposito-Alonso

Meeting Abstract (7)

21.
Meeting Abstract
Koenig, D.; Wesse, C.; Exposito-Alonso, M.; Becker, C.; Neuffer, B.; Weigel, D.: Contrasting Recent, Continental Scale Invasions of the Americas by Arabidopsis thaliana and Capsella bursa-pastoris. In Plant & Animal Genome XXIV: Workshop Weedy and Invasive Plant Genomics, W989. Plant & Animal Genome XXIV: Workshop Weedy and Invasive Plant Genomics, San Diego, CA, USA, 12. Januar 2016. (2016)

Poster (2)

22.
Poster
Czech, L.; Peng, Y.; Spence, J.; Lang, P.; Bellagio, T.; Hildebrandt, J.; Fritschi, K.; Schwab, R.; Rowan, B.; Weigel, D. et al.; Scheepens, J.; Vasseur, F.; Exposito Alonso, M.: Efficient analysis of allele frequency variation from whole-genome pool-sequencing data. Population, Evolutionary, and Quantitative Genetics Conference (PEQG 2022), Pacific Grove, CA, USA (2022)
23.
Poster
Vasseur, F.; Ayala-Garay, O.; Wang, G.; Exposito Alonso, M.; Violle, C.; Vile, D.; Weigel, D.: Local adaptation of the growth strategies across the range of A. thaliana. 26th International Conference on Arabidopsis Research (ICAR 2015), Paris, France (2015)

Hochschulschrift - Doktorarbeit (1)

24.
Hochschulschrift - Doktorarbeit
Exposito-Alonso, M.: On climate change and genetic evolution in Arabidopsis thaliana. Dissertation, Eberhard-Karls-Universität, Tübingen, Germany (2018)

Preprint (4)

25.
Preprint
Lang, P.; Erberich, J.; Lopez, L.; Weiß, C.; Amador, G.; Fung, H.; Latorre, S.; Lasky, J.; Burbano, H.; Expósito-Alonso, M. et al.; Bergmann, D.: Century-long timelines of herbarium genomes predict plant stomatal response to climate change. (eingereicht)
26.
Preprint
Czech, L.; Peng, Y.; Spence, J.; Lang, P.; Bellagio, T.; Hildebrandt, J.; Fritschi, K.; Schwab, R.; Rowan, B.; GrENE-net consortium et al.; Weigel, D.; Scheepens, J.; Vasseur, F.; Exposito-Alonso, M.: Monitoring rapid evolution of plant populations at scale with Pool-Sequencing. (eingereicht)
27.
Preprint
Exposito-Alonso, M.; Wilton, P.; Nielsen, R.: Non-additive polygenic models improve predictions of fitness traits in three eukaryote model species. (eingereicht)
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