Data associated with the paper: "Cellular memory enhances bacterial chemotactic navigation in rugged environments" by Gosztolai and Barahona
DOI: 10.14469/hpc/6522 Metadata
Created: 2019-12-22 06:36
Last modified: 2020-02-21 08:00
License: Creative Commons: Public Domain Dedication 1.0
Funding: P56545: "Math in Healthcare".
Co-author: Adam Gosztolai
Description
Simulation data for the project "Beyond local gradient-sensing: memory effects in bacterial chemotactic navigation" by Gosztolai and Barahona. Published in Communications Physics. The paper is on Arxiv as: https://arxiv.org/abs/1908.04316 . The paper is also on Biorxiv with DOI: https://doi.org/10.1101/733345 . The data was generated using the code in https://github.com/barahona-research-group/Chemotaxis-In-Rugged-Landscapes with DOI: 10.5281/zenodo.3365951 .
Files
| Filename | Size | Type | Description |
|---|---|---|---|
| sample_paths.tar.gz | 137MB | application/gzip | Data and code to produce swimming trajectories (Fig. 3a) |
| Det.tar.gz | 98MB | application/gzip | Simulations using the agent-based and Keller-Segel models in linear deterministic gradients (Fig. 2) |
| prof_OU_corr_0.00025_xi_0.025.mat | 294MB | application/octet-stream | Rugged attractant profiles based on a trending Ornstein-Uhlenbeck process used to produce the simulations in Rugged.tar.gz. |
| prof_OU_corr_10_xi_0.025.mat | 260MB | application/octet-stream | Rugged attractant profiles based on a trending Ornstein-Uhlenbeck process used to produce the simulations in Rugged.tar.gz. |