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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pysoar-1.0.2.tar.gz
(9.7 kB
view hashes)