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Copy file name to clipboardExpand all lines: README.md
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This is a dict that contains a dict for each sampled and analyzed frame, with the data computed during the analysis.
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### Complete functionality
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An in deep review of morphoscanner functionalities can be found in the [morphoscanner_tutorial.ipynb](https://github.com/lillux/morphoscanner/blob/main/Tutorials/morphoscanner_tutorial.ipynb).
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### Complete functionalities
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An in deep review of `morphoscanner` functionalities can be found in the [morphoscanner tutorial](https://github.com/lillux/morphoscanner/blob/main/Tutorials/1_morphoscanner_tutorial.ipynb).
Copy file name to clipboardExpand all lines: main.py
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_xtc=get_xtc()
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trj=trajectory(_gro, _xtc)
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trj.explore()
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print('\nYour trajectory has %d frames'%trj.number_of_frames)
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print('Your trajectory has %d BB atoms\n'%trj.number_of_BB_atoms)
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print('Your simulation has the following number of peptides of a certain length:\n')
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print_peptides_length(trj.len_dict)
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interval=get_interval(sentence='\nSet the interval between sampled frames (int): ')
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trj.compose_database(sampling_interval=interval)
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peptide_length=peptide_length(sentence='Set the number of aminoacids in one peptide (int): ')
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interval=get_interval(sentence='Set the interval between sampled frames (int): ')
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start_from=start_from(sentence='Set the index from which you want to start.\n\n0 if you have a single simulation.\n0 if you are analyzing split1.\nlen(split1) if you are analyzing split2.\ninteger: ')
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