This repository contains a simple library called py-motor which can be using to simulate time-series data containing discrete 'jump-points'. In this particular application, we will be simulating the characteristics time-series signal observed by molecular motors walking on microtubules. These time-series measurements of displacement vs. time are usually acquired using fluorescence imaging with one-nanometer accuracy (FIONA) or using an optical trap.

This notebook contains examples where 'py-motor' is used for simulating step-wise time series data as typically observed in experiments with molecular motors.

Install the Anaconda package manager before use. Additionally, the mpld3 package is used in order to manipulate inline figures within the notebook. To install mpld3, navigate to the command-line and paste the following:

$ conda install -c conda-forge mpld3 

After the package is finished installing, open the notebook and start playing around.

Install the Anacandona package manager before use.