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LENS

Supporting data and the original code used for the paper: "Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling". (An updated version of the LENS code in temporarily also available at https://github.com/GMPavanLab/cpctools/tree/main/Examples - working temporary folder).

  • All the systems trajectory are reported in the respective folders
  • analysis-LENS_example.ipynb: example notebook to reproduce the LENS analysis
  • out_data: example folder output
  • function.py: functions for LENS analysis
  • SM: Supplementary Movies

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Supporting data of submitted paper "Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling".

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