Publikationen

Buch/Buchbeitrag

  • J. Kohler, C. R. Lorenz, M. Gumbel, T Specht, K. Simov: A Security-By-Distribution Approach to Manage Big Data in a Federation of Untrustworthy Clouds. In: Cloud Security: Concepts, Methodologies, Tools, and Applications, 2019, 346–75. IGI Global. https://doi.org/10.4018/978-1-5225-8176-5.ch017.
  • M. Gumbel, R. Grebe, M. Knapp-Mohammady, G. M. Ullmann, J. Langowski: Modellierung und Analyse biologischer Prozesse in: Handbuch der Medizinischen Informatik, Th. Lehmann, E. Meyer zu Bexten (Hrsg.), Hanser (2. Edition.), 2005
  • M. Gumbel, M. Vetter, C. Cardenas: Java Standard Libraries, Addison-Wesley, München, 2000

Paper

  • E. Fimmel, M. Gumbel, M. Starman, L. Strüngmann: Computational Analysis of Genetic Code Variations Optimized for the Robustness against Point Mutations with Wobble-Like Effects. Life (2021), 11, 1338. https://doi.org/10.3390/life11121338
  • E. Fimmel, M. Gumbel, M. Starman, L. Strüngmann: Robustness against point mutations of genetic code extensions under consideration of wobble-like effects, BioSystems 208 (2021), 104485, https://doi.org/10.1016/j.biosystems.2021.104485
  • M. Gumbel, P. Wiedemann: Motif lengths of circular codes in coding sequences. J. theor. biology (2021). Vol. 523. https://doi.org/10.1016/j.jtbi.2021.110708.
  • E. Fimmel, M. Gumbel, A. Karpuzoglu, S. Petoukhov: On comparing composition principles of long DNA sequences with those of random ones. BioSystems (2019). https://doi.org/10.1016/j.biosystems.2019.04.003
  • P. Blazej, E. Fimmel, M. Gumbel: The Quality of Genetic Code Models in Terms of Their Robustness Against Point Mutations. Bull Math Biol (2019). https://doi.org/10.1007/s11538-019-00603-2
  • K. Kraljic, L. Strüngmann, E. Fimmel, M. Gumbel: Genetic Code Analysis Toolkit: A novel tool to explore the coding properties of the genetic code and DNA sequences, SoftwareX, Volume 7, January-June 2018, Pages 12-14, https://doi.org/10.1016/j.softx.2017.10.008
  • E. Fimmel, M. Gumbel, L. Strüngmann L.: Exploring Structure and Evolution of the Genetic Code with the Software Tool GCAT, AIMEE 2017: Advances in Arti?cial Systems for Medicine and Education, 658, https://doi.org/10.1007/978-3-319-67349-3-2, pp 14-22
  • M. Gumbel, E. Fimmel, A. Danielli, L. Strüngmann: On Models of the Genetic Code generated by Binary Dichotomic Algorithms. Biosystems 128 (2015) 9-18. http://dx.doi.org/10.1016/j.biosystems.2014.12.001
  • A. Torelli, F. Siegel, P. Erben, M.Gumbel: Modeling of the Urothelium with an Agent Based Approach. Lecture Notes in Computer Science 9044 (2015).
  • S. Möller, ..., M. Gumbel et al.: Community-driven development for computational biology at Sprints, Hackathons and Codefests. BMC Bioinformatics 2014, 15(Suppl 14):S7
  • R. B. R. Azevedo, R. Lohaus, V. Braun, M. Gumbel, M. Umamaheshwar, P. M. Agapow, W. Houthoofd, U. Platzer, G. Borgonie, H.-P. Meinzer, A. M. Leroi: The Simplicity of Metazoan Cell Lineages. Nature 433, S. 152-156, 2005
  • V. Braun, R. B. R. Azevedo, M. Gumbel, P.-M. Agapow, A. M. Leroi, H.-P. Meinzer: ALES: Cell Lineage Analysis
    and Mapping of Developmental Events. Bioinformatics 19(7), S. 851-858, 2003
  • M. Gumbel, R. Schnabel, H.-P. Meinzer: Analysis of Cell Migrations in C. elegans using Computer Simulations, SCS Publications, S. 605-611, 2000
  • M. Gumbel, O. Werner, G. Zajicek, H.-P. Meinzer: Simulation and 3-D Visualization of the Intestinal Crypt. SCS Publications, S. 310-312, 1998

Diese Seite druckenzum Seitenanfang