Skip to content
@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++ (/ Matlab))
  • pyABC for distributed and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) for parameter estimation of complex stochastic models (Python)

Pinned Loading

  1. pyABC pyABC Public

    distributed, likelihood-free inference

    Python 215 45

  2. pyPESTO pyPESTO Public

    python Parameter EStimation TOolbox

    Python 248 47

  3. parPE parPE Public

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

    C++ 22 4

  4. PESTO PESTO Public

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

    MATLAB 26 12

Repositories

Showing 10 of 27 repositories

Top languages

Loading…

Most used topics

Loading…