A Bayesian method for inferring quantitative information from FRET data

Catherine A Lichten; Peter S Swain

doi:10.1186/2046-1682-4-10

A Bayesian method for inferring quantitative information from FRET data

Catherine A Lichten, Peter S Swain

School of Biological Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Understanding biological networks requires identifying their elementary protein interactions and establishing the timing and strength of those interactions. Fluorescence microscopy and Förster resonance energy transfer (FRET) have the potential to reveal such information because they allow molecular interactions to be monitored in living cells, but it is unclear how best to analyze FRET data. Existing techniques differ in assumptions, manipulations of data and the quantities they derive. To address this variation, we have developed a versatile Bayesian analysis based on clear assumptions and systematic statistics.

Original language	English
Pages (from-to)	10
Journal	BMC Biophysics
Volume	4
DOIs	https://doi.org/10.1186/2046-1682-4-10
Publication status	Published - 2011

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AB - Understanding biological networks requires identifying their elementary protein interactions and establishing the timing and strength of those interactions. Fluorescence microscopy and Förster resonance energy transfer (FRET) have the potential to reveal such information because they allow molecular interactions to be monitored in living cells, but it is unclear how best to analyze FRET data. Existing techniques differ in assumptions, manipulations of data and the quantities they derive. To address this variation, we have developed a versatile Bayesian analysis based on clear assumptions and systematic statistics.

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A Bayesian method for inferring quantitative information from FRET data

Abstract

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