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TRamWAy: mapping physical properties of individual biomolecule random motion in large-scale single-particle tracking experiments.

Authors :
Laurent, François
Verdier, Hippolyte
Duval, Maxime
Serov, Alexander
Vestergaard, Christian L
Masson, Jean-Baptiste
Source :
Bioinformatics. Jun2022, Vol. 38 Issue 11, p3149-3150. 2p.
Publication Year :
2022

Abstract

Motivation Single-molecule localization microscopy allows studying the dynamics of biomolecules in cells and resolving the biophysical properties of the molecules and their environment underlying cellular function. With the continuously growing amount of data produced by individual experiments, the computational cost of quantifying these properties is increasingly becoming the bottleneck of single-molecule analysis. Mining these data requires an integrated and efficient analysis toolbox. Results We introduce TRamWAy, a modular Python library that features: (i) a conservative tracking procedure for localization data, (ii) a range of sampling techniques for meshing the spatio-temporal support of the data, (iii) computationally efficient solvers for inverse models, with the option of plugging in user-defined functions and (iv) a collection of analysis tools and a simple web-based interface. Availability and implementation TRamWAy is a Python library and can be installed with pip and conda. The source code is available at https://github.com/DecBayComp/TRamWAy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
38
Issue :
11
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
157102008
Full Text :
https://doi.org/10.1093/bioinformatics/btac291