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1.
Tritschler, S. et al.: Concepts and limitations for learning developmental trajectories from single cell genomics. Development 146, accepted (2019)
2.
Bolger, A.M.* et al.: Computational aspects underlying genome to phenome analysis in plants. Plant J. 97, 182-198 (2018)
3.
Bolger, M.E.* et al.: From plant genomes to phenotypes. J. Biotechnol. 17, 46-52 (2017)
4.
Schmutzer, T.* et al.: Bioinformatics in the plant genomic and phenomic domain: The German contribution to resources, services and perspectives. J. Biotechnol. 261, 37-45 (2017)
5.
Soliveres, S.* et al.: Locally rare species influence grassland ecosystem multifunctionality. Philos. Trans. R. Soc. B - Biol. Sci. 371:20150269 (2016)
6.
Soliveres, S.* et al.: Biodiversity at multiple trophic levels is needed for ecosystem multifunctionality. Nature 536, 456-459 (2016)
7.
Spannagl, M. et al.: Transplant resources for Triticeae genomic data. Plant Genome 9, DOI: 10.3835/plantgenome2015.06.0038 (2015)
8.
Allan, E.* et al.: A comparison of the strength of biodiversity effects across multiple functions. Oecologia 173, 223-237 (2013)
9.
Boudet, A.M.* et al.: Developmental and stress lignification. In: Sandermann, H.* ; Bonnet-Masimbert, M.* [Eds.]: EUROSILVA Contribution to Forest Tree Physiology. Paris: INRA, 1995. 13-34