pysoar 1.0.2

A data analysis tool for translocations in nanopores

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:

• NumPy
• SciPy
• ruptures
• matplotlib

Acknowledgements

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