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Added next steps with minimal code examples.

Not entirely sure on the D2D code example tbh. Also thankful for review on Copasi.

Closes #213

@PaulJonasJost PaulJonasJost self-assigned this Jan 20, 2026
@PaulJonasJost PaulJonasJost added the documentation Improvements or additions to documentation label Jan 20, 2026
Contribute to the Benchmark Collection
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Before diving into parameter estimation, consider contributing your PEtab problem to the community! The `PEtab Benchmark Collection <https://github.com/Benchmarking-Initiative/Benchmark-Models-PEtab>`_ is a curated repository of parameter estimation problems that helps:
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I'd move that to the end. Only published problems are added to the benchmark collection.

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I see the point 👍🏼

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Left it in the offboarding as the first thing, paired with that it should have enough visibility

Next Steps
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Congratulations on completing your PEtab file! Now that you have a standardized parameter estimation problem, you can use various tools to perform parameter estimation, sensitivity analysis, and model simulation. This page provides minimal working examples for the most commonly used tools in the PEtab ecosystem.
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**Documentation:** https://amici.readthedocs.io/

Model Simulation with COPASI
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Not sure that fits here, as there is no direct PEtab support. But there is https://github.com/copasi/python-petab-importer.

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Would leave that up to @fbergmann to decide (and potentially adjust?)

PaulJonasJost and others added 2 commits January 20, 2026 17:27
Co-authored-by: Daniel Weindl <dweindl@users.noreply.github.com>
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Next Steps

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