ArticleFrontiers in bioinformatics2021
NOBIAS: Analyzing anomalous diffusion in single-molecule tracks with nonparametric Bayesian inference.
Article in Frontiers in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Single-molecule tracking of RNA-DNA hybrid removal enzymes important for lagging-strand replication.Biophysical journal · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- Single-molecule tracking of RNA-DNA hybrid removal enzymes important for lagging-strand replication.bioRxiv : the preprint server for biology · 2025Article
- Revealing plasma membrane protein dynamics in living plant cells with single-molecule tracking.Journal of experimental botany · 2025Article
- Pointwise prediction of protein diffusive properties using machine learning.JPhys photonics · 2025Article
- Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.Nature methods · 2025Article
- Transcription dynamics and genome organization in the mammalian nucleus: Recent advances.Molecular cell · 2025Review
- Tracking live-cell single-molecule dynamics enables measurements of heterochromatin-associated protein-protein interactions.Nucleic acids research · 2024Article
- Directional change during active diffusion of viral ribonucleoprotein particles through cytoplasm.Biophysical journal · 2024Article
- Robust Quantification of Live-Cell Single-Molecule Tracking Data for Fluorophores with Different Photophysical Properties.The journal of physical chemistry. B · 2024Article
- Quantitative analysis of peroxisome tracks using a Hidden Markov Model.Scientific reports · 2023Article
- Tracking live-cell single-molecule dynamics enables measurements of heterochromatinassociated protein-protein interactions.bioRxiv : the preprint server for biology · 2023Article
- Single-molecule tracking to determine the abundances and stoichiometries of freely-diffusing protein complexes in living cells: Past applications and future prospects.The Journal of chemical physics · 2023Review
- ExTrack characterizes transition kinetics and diffusion in noisy single-particle tracks.The Journal of cell biology · 2023Article
- Single-molecule tracking (SMT): a window into live-cell transcription biochemistry.Biochemical Society transactions · 2023Article
- Palmitate-mediated disruption of the endoplasmic reticulum decreases intracellular vesicle motility.Biophysical journal · 2023Article
- Achieving Single-Molecule Tracking of Subcellular Regulation in Bacteria during Real-Time Environmental Perturbations.Analytical chemistry · 2023Article
- Single-molecule imaging in the primary cilium.Methods in cell biology · 2023Article
- Receptor tyrosine kinase MET ligand-interaction classified via machine learning from single-particle tracking data.Molecular biology of the cell · 2022Article
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3 authors.
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Abstract
Single particle tracking (SPT) enables the investigation of biomolecular dynamics at a high temporal and spatial resolution in living cells, and the analysis of these SPT datasets can reveal biochemical interactions and mechanisms. Still, how to make the best use of these tracking data for a broad set of experimental conditions remains an analysis challenge in the field. Here, we develop a new SPT analysis framework: NOBIAS (NOnparametric Bayesian Inference for Anomalous Diffusion in Single-Molecule Tracking), which applies nonparametric Bayesian statistics and deep learning approaches to thoroughly analyze SPT datasets. In particular, NOBIAS handles complicated live-cell SPT data for which: the number of diffusive states is unknown, mixtures of different diffusive populations may exist within single trajectories, symmetry cannot be assumed between the
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