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Investigating the two regimes of fibrin clot lysis: an experimental and computational approach

<p>&nbsp;</p> <p><strong>Investigating the two regimes of fibrin clot lysis: an experimental and computational approach</strong></p> <p>Dataset and python files (Python3) to reproduce all figures and simulations&nbsp;presented in the manuscript.</p> <p>&nbsp;</p> <p>**********************<br> * Run_simulations.py *<br> **********************</p> <p>* To run the simulations:<br> &nbsp; python3.8 Run_simulations.py arg1 arg2 arg3 arg4</p> <p>&nbsp; - arg1:<br> &nbsp; &nbsp; Directory with experimental lysis profiles<br> &nbsp;&nbsp;<br> &nbsp; - arg2:<br> &nbsp; &nbsp; Directory to store initial conditions of the lysis (i.e state of the system after clot formation)<br> &nbsp; &nbsp; if the directory does not exist, it is created.<br> &nbsp;&nbsp;<br> &nbsp; - arg3:<br> &nbsp; &nbsp; Directory to store the simulated lysis profiles<br> &nbsp; &nbsp; if the directory does not exist, it is created.</p> <p>&nbsp; &nbsp;- arg4:<br> &nbsp; &nbsp; &nbsp;index of the first set of clotting kinetic parameters (92 sets of parameters)</p> <p>&nbsp; &nbsp;- arg5:<br> &nbsp; &nbsp; &nbsp;index of the last set of clotting kinetic parameters (92 sets of parameters)</p> <p>* Example: python3.8 Run_simulations.py Raw_Data/ Init/ Results/ 0 92</p> <p><br> * Requires:<br> &nbsp; - module_fibrin_polymerization_Diamond_kinetics.py<br> &nbsp; - module_kinetics.py<br> &nbsp; - solid_Diamond_Anand_dict.py (dictionnary with parameters of the simulations)<br> &nbsp; - output_parameters_polymerization_T1000.txt (sets of clotting kinetic parameters)<br> &nbsp; - Mean_LAT_LYS_shell.txt (mean fraction of shells during slow and fast lysis for each experiment. Used to compute the distribution of shells for the surrogate model)</p> <p><br> ****************************************<br> * make_analysis_figures_simulations.py *<br> ****************************************</p> <p>* To reproduce the figures associated to simulation results:<br> &nbsp; python3.8 make_analysis_figures_simulations.py arg1 arg2 arg3 arg4</p> <p>&nbsp; - arg1:<br> &nbsp; Directory with experimental lysis profiles</p> <p>&nbsp; - arg2:<br> &nbsp; Directory with the simulated lysis profiles</p> <p>&nbsp; - arg3:<br> &nbsp; Directory with initial conditions</p> <p>&nbsp; - arg4:<br> &nbsp; Directory with the results of the sensitivity analysis</p> <p>* Example: python3.8 make_analysis_figures_simulations.py Raw_Data/ Results/ Init/ Sensitivity_Analysis/</p> <p>* PDF Figures are created in the current directory</p> <p>* Requires:<br> &nbsp; - module_analyze_simulations.py<br> &nbsp; - module_analyze_data.py<br> &nbsp; - output_parameters_polymerization_T1000.txt<br> &nbsp; - manip_summary.txt (clot formation time, slow lysis time, fast lysis time for each experiment)<br> &nbsp; - Experiments_sorted.txt (experimental conditions, sorted by increasing order of concentrations)</p> <p><br> ****************************************<br> * make_analysis_figures_experiments.py *<br> ****************************************</p> <p>* To reproduce the figures associated to experimental results:<br> &nbsp; python3.8 make_analysis_figures_experiments.py arg1</p> <p>&nbsp; - arg1:<br> &nbsp; Directory with experimental lysis profiles</p> <p>* Example: python3.8 make_analysis_figures_experiments.py Raw_Data/</p> <p>* PDF Figures are created in the current directory</p> <p>* Requires:<br> &nbsp; - module_analyze_data.py<br> &nbsp; - Experiments.txt (contains experimental conditions)</p> <p>&nbsp;</p>

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36/100

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These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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