Dr. Victor Garcia
Dr. Victor Garcia
ZHAW
School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Schloss
8820 Wädenswil
Projects
- SmartRecipe - Real-Time Production Optimization / Team member / ongoing
- A top-down indicator of lean-green alignment in small and medium-sized enterprises / Deputy project leader / completed
- Digital Tools for Codon Optimization / Project leader / completed
- Dynamik Knowledge Platform / Co-project leader / completed
- The effect of programmed ribosomal frameshifting on codon usage bias / Team member / completed
- Exploring the silent fitness landscape / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Garcia, V., Horn, C., & Ott, T. (2022). The sciences of data – moving towards a comprehensive systems perspective. Archives of Data Science, Series A, 8(2). https://doi.org/10.5445/IR/1000150241
- Zrimec, J., Buric, F., Kokina, M., Garcia, V., & Zelezniak, A. (2021). Learning the regulatory code of gene expression. Frontiers in Molecular Biosciences, 8(673363). https://doi.org/10.3389/fmolb.2021.673363
- Cadosch, D., Garcia, V., Jensen, J. S., Low, N., & Althaus, C. L. (2020). Understanding the spread of de novo and transmitted macrolide-resistance in Mycoplasma genitalium. PeerJ, 8, e8913. https://doi.org/10.7717/peerj.8913
- Garcia, V., Bonhoeffer, S., & Fu, F. (2020). Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation : a mathematical and computational examination. Journal of Theoretical Biology, 492(110185). https://doi.org/10.1016/j.jtbi.2020.110185
- Garcia, V., Zoller, S., & Anisimova, M. (2018). Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. G3 - Genes, Genomes, Genetics, 8(10), 3173–3183. https://doi.org/10.1534/g3.118.200185
- Smid, J. H., Garcia, V., Low, N., Mercer, C. H., & Althaus, C. L. (2018). Age difference between heterosexual partners in Britain : implications for the spread of Chlamydia trachomatis. Epidemics, 24, 60–66. https://doi.org/10.1016/j.epidem.2018.03.004
- Garcia, V., Glassberg, E. C., Harpak, A., & Feldman, M. W. (2018). Clonal interference can cause wavelet-like oscillations of multilocus linkage disequilibrium. Journal of the Royal Society Interface, 15(140). https://doi.org/10.1098/rsif.2017.0921
- Riesen, M., Garcia, V., Low, N., & Althaus, C. L. (2017). Modeling the consequences of regional heterogeneity in human papillomavirus (HPV) vaccination uptake on transmission in Switzerland. Vaccine, 35(52), 7312–7321. https://doi.org/10.1016/j.vaccine.2017.10.103
- Garcia, V., & Feldman, M. W. (2017). Within-epitope interactions can bias CTL escape estimation in early HIV infection. Frontiers in Immunology, 8(423). https://doi.org/10.3389/fimmu.2017.00423
- Garcia, V., Feldman, M. W., & Regoes, R. R. (2016). Investigating the consequences of interference between multiple CD8+ T cell escape mutations in early HIV infection. PLOS Computational Biology, 12(2), 1–23. https://doi.org/10.1371/journal.pcbi.1004721
- Garcia, V., Richter, K., Graw, F., Oxenius, A., & Regoes, R. R. (2015). Estimating the in vivo killing efficacy of cytotoxic T lymphocytes across different peptide-MHC complex densities. PLOS Computational Biology, 11(5), 1–13. https://doi.org/10.1371/journal.pcbi.1004178
Other publications
- Baumann, I., Garcia, V., & Metz, F. (2018). Heat, greed and human need : climate change, capitalism and sustainable wellbeing. Gough, Ian. Cheltenham, Edward Elgar Publishing (2017), 264 p., ISBN 978-1-785-36512-6. Swiss Political Science Review, 25(1), 95–100. https://doi.org/10.1111/spsr.12336
- Garcia, V., Zoller, S., & Anisimova, M. (2018). Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices. Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018.
- Garcia, V., Zoller, S., & Anisimova, M. (2018). Programmed ribosomal frameshifting and codon usage bias [Conference poster]. In S. Hirsch (Ed.), Life in Numbers 4.0. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-4023