Computational Approaches

Now somewhat inherent to all of our work, formerly a stand alone topic.

As we are generating ever increasing amounts of data and as we occasionally make counter-intuitive observations, computational approaches are becoming more and more important for us to advance in our research. We are particularly keen to integrate and test our experimental data in dynamic modeling frameworks and routinely handle high throughput data, such as next generation sequencing. Relevant publications include:

Martial Sankar, Kaisa Nieminen, Laura Ragni, Ioannis Xenarios and Christian S. Hardtke (2014): Automated quantitative histology reveals vascular morphodynamics during Arabidopsis hypocotyl secondary growth. eLife, http://dx.doi.org/10.7554/eLife.01567.

Eavan Dorcey, Antia Rodriguez-Villalon, Paula Salinas, Luca Santuari, Sylvain Pradervand, Keith Harshman and Christian S. Hardtke (2012): Context-dependent dual role of SKI8 homologs in mRNA synthesis and turnover. PLoS Genetics, Vol. 8: e1002652.

Luca Santuari, Emanuele Scacchi, Antia Rodriguez-Villalon, Paula Salinas, Esther M.N. Dohmann, Geraldine Brunoud, Teva Vernoux, Richard S. Smith and Christian S. Hardtke (2011): Positional information by differential endocytosis splits auxin response to drive Arabidopsis root meristem growth. Current Biology, Vol. 21: pp. 1918-1923.

Martial Sankar, Karen S. Osmont, Jacub Rolcik, Bojan Gujas, Danuse Tarkowska, Miroslav Strnad, Ioannis Xenarios and Christian S. Hardtke (2011): A qualitative continuous model of cellular auxin and brassinosteroid signaling and their crosstalk. Bioinformatics, Vol. 27, pp. 1404-1412.