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A data analysis tool for translocations in nanopores

Project description

PySOAR

PySOAR is a Python (3.9+) package for data analysis of translocation events during nanopore sensing. The main features include:

  • Baseline correction function.
  • Splitting the current into bins and doing a Poisson fit on that data to help the user visually decide on what threshold should be used for this data.
  • Finding peaks function based on the threshold chosen.
  • Ability to extract features from the events using both CUSUM and ADEPT methods.
  • Histogram plots of peak curretn and dwell time data.

Installation

To install with pip: '''

pip install --user pysoar

'''

PySOAR utilises the following external libraries:

Acknowledgements

Developed by Vladimir Ivanov as part of the MSci final year project while working with the Edel's group at Imperial College London

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