Anika John

Additional information

Research area

- Computational virology

Curriculum Vitae

- Since Oct 2022 PhD candidate, Computational Biology Group, ETH Zurich

- Feb 2022 - Aug 2022: Intern at Novartis, studying AAV vector design

- Sept 2021 - Jan 2022: Data Scientist Covid-19 Task Force, Kanton Bern

- Sept 2019 - May 2021: M.Sc. in Bioinformatics, University of Bern 

- Sept 2016 - Jun 2019: B.Sc. in Biochemistry, University of Bern

Publications

John, A., Kang, S., Fuhrmann, L., Topolsky, I., Kent, C., Quick, J., Stadler, T., Julian, T. R., & Beerenwinkel, N. (2025). Wastewater sequencing reveals the genomic landscape of Influenza A virus in Switzerland. medRxiv. https://doi.org/10.1101/2025.04.17.25325990

John, A., Dreifuss, D., Kang, S., Bratus-Neuenschwander, A., Zajac, N., Topolsky, I., Dondi, A., Aquino, C., Julian, T. R., & Beerenwinkel (2024). Assessing different next-generation sequencing technologies for wastewater-based epidemiology. Water Research. https://www.sciencedirect.com/science/article/pii/S0043135424013642?via%3Dihub

Fuhrmann, L., Jablonski, K. P., Topolsky, I., Batavia, A. A., Borgsmüller, N., Baykal, P. I., Carrara, M., Chen, C., Dondi, A., Dragan, M., Dreifuss, D., John, A., Langer, B., Okoniewski, M., du Plessis, L., Schmitt, U., Singer, F., Stadler, T., & Beerenwinkel. V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation 2. bioRxiv. https://www.biorxiv.org/content/10.1101/2023.10.16.562462v1

Dürr, L., Hell, T., Dobrzyński, M., Mattei, A., John, A., Augsburger, N., Bradanini, G., Reinhardt, J. K., Rossberg, F., Drobnjakovic, M., Gupta, M. P., Hamburger, M., Pertz, O., & Garo, E. (2022). High-Content Screening Pipeline for Natural Products Targeting Oncogenic Signaling in Melanoma. In Journal of Natural Products (Vol. 85, Issue 4, pp. 1006–1017). American Chemical Society. https://doi.org/10.1021/acs.jnatprod.1c01154

Hell, T., Rutz, A., Dürr, L., Dobrzyński, M., Reinhardt, J. K., Lehner, T., Keller, M., John, A., Gupta, M., Pertz, O., Hamburger, M., Wolfender, J. L., & Garo, E. (2022). Combining Activity Profiling with Advanced Annotation to Accelerate the Discovery of Natural Products Targeting Oncogenic Signaling in Melanoma. In Journal of Natural Products (Vol. 85, Issue 6, pp. 1540–1554). American Chemical Society. https://doi.org/10.1021/acs.jnatprod.2c00146