Synthetic Turing Patterns - A Synthetic Approach Towards Understanding the Formation of Robust Turing Patterns in Developmental Biology
01.09.2017 - 31.05.2023
Prof. Dr. Heike Siebert, Dr. Elisa Tonello (2018-2021), Laura Cifuentes Fontanals (2021-2022)
The development of complex multicellular organisms from a fertilized egg cell continues to pose some of the most intriguing and challenging problems in modern biology. Life at this level is governed by complex regulatory processes and disentangling these has proved difficult. Yet there are a few ...
Spatio-temporal modeling of bioregions (MATH+ EF5-5)
01.01.2021 - 31.12.2022
Prof. Dr. Heike Siebert, Dr. Natasa Djurdjevac Conrad, Dr. Sara Varela, Dr. Elisa Tonello
Biodiversity can be analyzed using so-called bioregions, geographical areas characterized by specific species composition that can be identified using clustering in ecological networks. Analyzing the evolution of bioregions through time and space is key to understanding the basic principles ...
Algebraic methods for investigating cell fate decisions (MATH+ AA1-4)
01.01.2019 - 31.12.2021
Prof. Dr. Heike Siebert, Prof. Dr. Christian Haase, Robert Schwieger (2019-2020), Hannes Klarner (2020-2021)
The project aims at establishing a new application field for algebraic methods in systems biology. We plan to develop methods utilizing Gröbner bases and related concepts for the characterization of attractor sets representing different cell fates in Boolean models of molecular networks and ...