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arXiv · 1504.00525

InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference

Mohamed El Beheiry·Maxime Dahan·Jean-Baptiste Masson
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Abstract

Single-particle tracking (SPT) grants unprecedented insight into cellular function at the molecular scale [1]. Throughout the cell, the movement of single-molecules is generally heterogeneous and complex. Hence, there is an imperative to understand the multi-scale nature of single-molecule dynamics in biological systems. We have previously shown that with high-density SPT, spatial maps of the parameters that dictate molecule motion can be generated to intricately describe cellular environments [2,3,4]. To date, however, there exist no publically available tools that reconcile trajectory data to generate the aforementioned maps. We address this void in the SPT community with InferenceMAP: an interactive software package that uses a powerful Bayesian method to map the dynamic cellular space experienced by individual biomolecules.

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Mohamed El Beheiry, Maxime Dahan, Jean-Baptiste Masson. 2015-04-02. InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference. https://doi.org/10.1016/j.bpj.2014.11.2580

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