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Department of Molecular Life Sciences von Mering group

Janko Tackmann

Janko Tackmann

Project Leader / Senior Research Assistant

Dr. Janko Tackmann

Office: Y55-L-56

Phone: +41 44 635 31 48

 

 

Curriculum Vitae

  • 2023-present Senior Research Assistant at the von Mering lab, Department of Molecular Life Sciences, Universität Zürich (CH)
  • 2019-2023 Postdoc at the von Mering lab, Department of Molecular Life Sciences, Universität Zürich (CH)
  • 2014-2019 Doctorate at the von Mering lab, Department of Molecular Life Sciences, Universität Zürich (CH)
  • 2014 Research intern, Biological Research Center, Szeged (HU)
  • 2013 MSc Project, Biomedical Center, Uppsala (SE)
  • 2012-2013 Erasmus in Evolutionary Biology, Uppsala Universitet (SE)
  • 2011–2014 MSc in Bioinformatics, Freie Universität Berlin (DE)
  • 2011 Research intern, Max-Planck-Institute for Evolutionary Anthropology, Leipzig (DE)
  • 2008–2011 BSc in Bioinformatics, Freie Universität Berlin (DE)

Research Interest

  • Microbial ecosystem modeling
  • Probabilistic microbe-microbe interaction prediction
  • Environmental factors driving microbial community assembly
  • Biases in cross-study microbial sequencing data
  • Microbiome-based forensics
  • Global biogeography of microorganisms
  • Microbial generalism and specialism trends

Publications

Dmitrijeva, M., Tackmann, J., Matias Rodrigues, J. F., Huerta-Cepas, J., Coelho, L. P., & von Mering, C. (2024). A global survey of prokaryotic genomes reveals the eco-evolutionary pressures driving horizontal gene transfer. Nature Ecology & Evolution, 1-13

Burz, S. D., Causevic, S., Dal Co, A., Dmitrijeva, M., Engel, P., Garrido-Sanz, D., ... & Vorholt, J. A. (2023). From microbiome composition to functional engineering, one step at a time. Microbiology and Molecular Biology Reviews, 87(4), e00063-23

Čaušević, S., Tackmann, J., Sentchilo, V., von Mering, C., & van der Meer, J. R. (2022). Reproducible propagation of species-rich soil bacterial communities suggests robust underlying deterministic principles of community formation. Msystems, 7(2), e00160-22

Hanya, G., Tackmann, J., Sawada, A., Lee, W., Pokharel, S. S., de Castro Maciel, V. G., ... & Liu, J. (2020). Fermentation Ability of Gut Microbiota of Wild Japanese Macaques in the Highland and Lowland Yakushima: In Vitro Fermentation Assay and Genetic Analyses. Microbial Ecology, 1-16. https://doi.org/10.1007/s00248-020-01515-8

Tackmann, J., Rodrigues, J. F. M., & von Mering, C. (2019). Rapid inference of direct interactions in large-scale ecological networks from heterogeneous microbial sequencing data. Cell systems, 9(3), 286-296. https://doi.org/10.1016/j.cels.2019.08.002

Tackmann, J., Arora, N., Schmidt, T. S. B., Rodrigues, J. F. M., & von Mering, C. (2018). Ecologically informed microbial biomarkers and accurate classification of mixed and unmixed samples in an extensive cross-study of human body sites. Microbiome, 6(1), 1-16. https://doi.org/10.1186/s40168-018-0565-6

Matias Rodrigues, J. F., Schmidt, T. S., Tackmann, J., & von Mering, C. (2017). MAPseq: highly efficient k-mer search with confidence estimates, for rRNA sequence analysis. Bioinformatics, 33(23), 3808-3810. https://doi.org/10.1093/bioinformatics/btx517


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