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@ICB-DCM

Data-driven Computational Modelling

Hasenauer Lab @ University of Bonn (formerly at Helmholtz Munich)

Hi there 👋

This is the GitHub organization of the Hasenauer Lab at University of Bonn, Germany.

For our research in computational biology, we developed a number of tools, mostly around simulation of dynamical models and parameter inference.

The highlights are:

  • pypesto for parameter estimation in Python
  • PEtab for specifying parameter estimation problems in systems biology in an efficient and interoperable manner
  • AMICI for scalable simulation and sensitivity analysis (Python / C++)
  • pyABC for distributed and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) for parameter estimation of complex stochastic models (Python)

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  1. pyABC pyABC Public

    distributed, likelihood-free inference

    Python 219 45

  2. pyPESTO pyPESTO Public

    python Parameter EStimation TOolbox

    Python 269 47

  3. parPE parPE Public

    Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.

    C++ 21 4

  4. PESTO PESTO Public

    PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

    MATLAB 27 12

Repositories

Showing 10 of 30 repositories
  • cOmicsArt Public

    This is the code to run cOmicsArt! Want to use it without installation - check out the website:

    ICB-DCM/cOmicsArt’s past year of commit activity
    HTML 8 1 50 (4 issues need help) 0 Updated Apr 16, 2026
  • pyABC Public

    distributed, likelihood-free inference

    ICB-DCM/pyABC’s past year of commit activity
    Python 219 BSD-3-Clause 45 31 0 Updated Apr 14, 2026
  • pyPESTO Public

    python Parameter EStimation TOolbox

    ICB-DCM/pyPESTO’s past year of commit activity
    Python 269 BSD-3-Clause 47 131 (4 issues need help) 13 Updated Apr 14, 2026
  • Extrinsic-apoptosis-Conversion-reaction-model Public

    This is the reproducible code for the manuscript titled "Nonlinear Mixed-Effect Models and Tailored Parameterization Schemes Enable Integration of Single-Cell and Bulk Data," which covers both the extrinsic apoptosis and conversion reaction models.

    ICB-DCM/Extrinsic-apoptosis-Conversion-reaction-model’s past year of commit activity
    MATLAB 0 MIT 0 0 0 Updated Apr 7, 2026
  • Shiny-Calorie-Wrapper Public

    Electron Wrapper for Shiny-Calorie

    ICB-DCM/Shiny-Calorie-Wrapper’s past year of commit activity
    JavaScript 0 0 0 6 Updated Mar 31, 2026
  • pyscat Public

    Scatter search optimization in Python

    ICB-DCM/pyscat’s past year of commit activity
    Python 2 BSD-3-Clause 1 11 1 Updated Mar 19, 2026
  • Tutorial_BCML_2026 Public

    This repository contains the tutorial for AMICI, PEtab and pyPESTO presented in the 2nd Bonn Conference on Mathematical Life Sciences.

    ICB-DCM/Tutorial_BCML_2026’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Mar 19, 2026
  • .github Public

    Organization profile

    ICB-DCM/.github’s past year of commit activity
    0 0 0 0 Updated Mar 12, 2026
  • custom_ci_image Public

    Testing custom CI image for parPE

    ICB-DCM/custom_ci_image’s past year of commit activity
    Shell 0 0 0 0 Updated Mar 9, 2026
  • C-COMPASS Public

    A Neural Network Tool for Multi-Omic Classification of Cell Compartments

    ICB-DCM/C-COMPASS’s past year of commit activity
    Python 2 0 16 2 Updated Mar 9, 2026

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