Info

Raw data and scripts used for data analysis and modelling in [1].

License

Code and Data are provided under the MIT License.

Authors

Lukas Widmer <lukas.widmer@bsse.ethz.ch> (Scripts, Data Analysis)
Xiuzhen Chen <xiuzhen.chen@bc.biol.ethz.ch> (Image Data)

Installation & Usage

Windows

1. Install MATLAB (tested on R2016b-R2018a)
2. Install Git via TortoiseGit (https://tortoisegit.org/)
3. Git clone this repo

Mac OS X

1. Install MATLAB
2. Install Git through package manager: e.g., brew install git
3. Git clone this repo

Linux (instructions here are for Ubuntu / Debian)

1. Install MATLAB
2. Install Git through package manager: sudo apt-get install git
3. Git clone this repo

Usage

• Run runDataAnalysis.m in MATLAB to perform the analysis of the experimental data, and generate the data and model figures.
• Run runSampling.m with one of the modes specified therein to simulate the stochastic model and compute the measurement model. Warning: this is computationally intense, using a compute cluster is highly recommended.

References

1. Xiuzhen Chen†, Lukas A. Widmer†, Marcel M. Stangier, Michel O. Steinmetz, Jörg Stelling*, Yves Barral*. (2019)
   Remote control of microtubule plus-end dynamics and function from the minus-end
   † contributed equally
   * corresponding authors: joerg.stelling@bsse.ethz.ch, yves.barral@bc.biol.ethz.ch
   [Submitted.]