Skip to content

Releases: OmegaProject/TrajectoryGenerator

OMEGA TrajectoryGenerator beta public release

02 Feb 03:05
@strambc strambc
0.01.0-beta
f9d0179
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

Choose a tag to compare

View all tags
OMEGA TrajectoryGenerator beta public release Pre-release
Pre-release

This repository contains the source code for several Matlab programs that can be used to generate artificial trajectories of known mobility characteristics (i.e. observed Diffusion constant and Moment Scaling Spectrum; Ewers et al., 2005).
Specifically, these programs are:

  1. ArtificialTrajectories2: this routine was developed to produce artificial trajectories by Sbalzarini and co-workers (Helmuth et al., 2007).
  2. NoisyTrajectoryGeneration: this routine was developed by the OMEGA team to produce "noisy" artificial trajectories as described (Rigano et al., 2018a and 2018b).
  3. Brownian1: this routine was developed to produce Brownian trajectories by the OMEGA team as described (Rigano et al., 2018a and 2018b).
  4. Brownian2: this routine was developed to produce Brownian trajectories by the OMEGA team as described (Rigano et al., 2018a and 2018b).

For additional details please refer to the following publications:

  1. Ewers, H., A.E. Smith, I.F. Sbalzarini, H. Lilie, P. Koumoutsakos, and A. Helenius. 2005. Single-particle tracking of murine polyoma virus-like particles on live cells and artificial membranes. Proc Natl Acad Sci USA. 102:15110–15115. doi:10.1073/pnas.0504407102.
  2. Helmuth, J.A., C.J. Burckhardt, P. Koumoutsakos, U.F. Greber, and I.F. Sbalzarini. 2007. A novel supervised trajectory segmentation algorithm identifies distinct types of human adenovirus motion in host cells. J Struct Biol. 159:347–358. https://doi.org/10.1016/j.jsb.2007.04.003.
  3. Rigano, A., V. Galli, J.M. Clark, L.E. Pereira, L. Grossi, J. Luban, R. Giulietti, T. Leidi, E. Hunter, M. Valle, I.F. Sbalzarini, and C. Strambio-De-Castillia. 2018a. OMEGA: a software tool for the management, analysis, and dissemination of intracellular trafficking data that incorporates motion type classification and quality control. bioRxiv. 251850. https://doi.org/10.1101/251850.
  4. Rigano, A., V. Galli, K. Gonciarz, I.F. Sbalzarini, and C. Strambio-De-Castillia. 2018b. An algorithm-centric Monte Carlo method to empirically quantify motion type estimation uncertainty in single-particle tracking. bioRxiv. 379255. https://doi.org/10.1101/379255.
Loading