An automated Bayesian pipeline for rapid analysis of single-molecule binding data

Analysis of single-molecule binding assays still requires substantial manual user intervention. Here, the authors present a pipeline for rapid, automated analysis of co-localization single-molecule spectroscopy images, with a modular user interface that can be adjusted to a range of experimental con...

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Main Authors: Carlas S. Smith, Karina Jouravleva, Maximiliaan Huisman, Samson M. Jolly, Phillip D. Zamore, David Grunwald
Format: Article
Language:English
Published: Nature Publishing Group 2019-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-08045-5
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spelling doaj-843e839540ba4dd28ca6c75bbc68d5262021-05-11T11:32:41ZengNature Publishing GroupNature Communications2041-17232019-01-011011910.1038/s41467-018-08045-5An automated Bayesian pipeline for rapid analysis of single-molecule binding dataCarlas S. Smith0Karina Jouravleva1Maximiliaan Huisman2Samson M. Jolly3Phillip D. Zamore4David Grunwald5RNA Therapeutics Institute, University of Massachusetts Medical SchoolRNA Therapeutics Institute, University of Massachusetts Medical SchoolRNA Therapeutics Institute, University of Massachusetts Medical SchoolRNA Therapeutics Institute, University of Massachusetts Medical SchoolRNA Therapeutics Institute, University of Massachusetts Medical SchoolRNA Therapeutics Institute, University of Massachusetts Medical SchoolAnalysis of single-molecule binding assays still requires substantial manual user intervention. Here, the authors present a pipeline for rapid, automated analysis of co-localization single-molecule spectroscopy images, with a modular user interface that can be adjusted to a range of experimental conditions.https://doi.org/10.1038/s41467-018-08045-5
collection DOAJ
language English
format Article
sources DOAJ
author Carlas S. Smith
Karina Jouravleva
Maximiliaan Huisman
Samson M. Jolly
Phillip D. Zamore
David Grunwald
spellingShingle Carlas S. Smith
Karina Jouravleva
Maximiliaan Huisman
Samson M. Jolly
Phillip D. Zamore
David Grunwald
An automated Bayesian pipeline for rapid analysis of single-molecule binding data
Nature Communications
author_facet Carlas S. Smith
Karina Jouravleva
Maximiliaan Huisman
Samson M. Jolly
Phillip D. Zamore
David Grunwald
author_sort Carlas S. Smith
title An automated Bayesian pipeline for rapid analysis of single-molecule binding data
title_short An automated Bayesian pipeline for rapid analysis of single-molecule binding data
title_full An automated Bayesian pipeline for rapid analysis of single-molecule binding data
title_fullStr An automated Bayesian pipeline for rapid analysis of single-molecule binding data
title_full_unstemmed An automated Bayesian pipeline for rapid analysis of single-molecule binding data
title_sort automated bayesian pipeline for rapid analysis of single-molecule binding data
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-01-01
description Analysis of single-molecule binding assays still requires substantial manual user intervention. Here, the authors present a pipeline for rapid, automated analysis of co-localization single-molecule spectroscopy images, with a modular user interface that can be adjusted to a range of experimental conditions.
url https://doi.org/10.1038/s41467-018-08045-5
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