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charlesrocabert committed Sep 17, 2019
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10 changes: 6 additions & 4 deletions MetEvolSim.egg-info/PKG-INFO
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Metadata-Version: 2.1
Name: MetEvolSim
Version: 0.2.3
Version: 0.3.0
Summary: MetEvolSim (Metabolome Evolution Simulator) Python Package
Home-page: https://github.com/charlesrocabert/MetEvolSim
Author: Charles Rocabert, Gábor Boross, Balázs Papp
Expand All @@ -11,7 +11,7 @@ Description: <h1 align="center">MetEvolSim</h1>
<p align="center">
Python package dedicated to the evolution of metabolic concentrations
<br/><br/>
<a href="https://github.com/charlesrocabert/MetEvolSim/releases/latest"><img src="https://img.shields.io/badge/PyPI package- 0.2.0-orange.svg" /></a>&nbsp;<a href="https://www.gnu.org/licenses/gpl-3.0"><img src="https://img.shields.io/badge/license-GPL v3-blue.svg" /></a>&nbsp;
<a href="https://github.com/charlesrocabert/MetEvolSim/releases/latest"><img src="https://img.shields.io/badge/PyPI package- 0.3.0-orange.svg" /></a>&nbsp;<a href="https://www.gnu.org/licenses/gpl-3.0"><img src="https://img.shields.io/badge/license-GPL v3-blue.svg" /></a>&nbsp;
<br/>
<img src="./logos/metevolsim_logo.png" width=150>
</p>
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### Evolution experiments:
Three types of evolution experiments are available:
- <code>MUTATION_ACCUMULATION</code>: Run a mutation accumulation experiment by accepting all new mutations without any selection threshold,
- <code>METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of metabolic abundances,
- <code>TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the objective function.
- <code>ABSOLUTE_METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of absolute metabolic abundances,
- <code>RELATIVE_METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of relative metabolic abundances,
- <code>ABSOLUTE_TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the MOMA distance of absolute target fluxes,
- <code>RELATIVE_TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the MOMA distance of relative target fluxes.

```python
# Load a Markov Chain Monte Carlo (MCMC) instance
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8 changes: 5 additions & 3 deletions README.md
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<p align="center">
Python package dedicated to the evolution of metabolic concentrations
<br/><br/>
<a href="https://github.com/charlesrocabert/MetEvolSim/releases/latest"><img src="https://img.shields.io/badge/PyPI package- 0.2.0-orange.svg" /></a>&nbsp;<a href="https://www.gnu.org/licenses/gpl-3.0"><img src="https://img.shields.io/badge/license-GPL v3-blue.svg" /></a>&nbsp;
<a href="https://github.com/charlesrocabert/MetEvolSim/releases/latest"><img src="https://img.shields.io/badge/PyPI package- 0.3.0-orange.svg" /></a>&nbsp;<a href="https://www.gnu.org/licenses/gpl-3.0"><img src="https://img.shields.io/badge/license-GPL v3-blue.svg" /></a>&nbsp;
<br/>
<img src="./logos/metevolsim_logo.png" width=150>
</p>
Expand Down Expand Up @@ -96,8 +96,10 @@ All numerical analyses output files are saved in a subfolder <code>output</code>
### Evolution experiments:
Three types of evolution experiments are available:
- <code>MUTATION_ACCUMULATION</code>: Run a mutation accumulation experiment by accepting all new mutations without any selection threshold,
- <code>METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of metabolic abundances,
- <code>TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the objective function.
- <code>ABSOLUTE_METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of absolute metabolic abundances,
- <code>RELATIVE_METABOLIC_SUM_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the sum of relative metabolic abundances,
- <code>ABSOLUTE_TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the MOMA distance of absolute target fluxes,
- <code>RELATIVE_TARGET_FLUXES_SELECTION</code>: Run an evolution experiment by applying a stabilizing selection on the MOMA distance of relative target fluxes.

```python
# Load a Markov Chain Monte Carlo (MCMC) instance
Expand Down
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