A Bayesian method for inferring quantitative information from FRET data

Catherine A Lichten, Peter S Swain

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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 languageEnglish
Pages (from-to)10
JournalBMC Biophysics
Volume4
DOIs
Publication statusPublished - 2011

Fingerprint

Dive into the research topics of 'A Bayesian method for inferring quantitative information from FRET data'. Together they form a unique fingerprint.

Cite this