Ratiometric FRET

Data analysis code and example datasets for ratiometric FRET analysis
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Aktualisiert 17. Aug 2015

"Ratiometric FRET" submission contains all code necessary for the ratiometric analysis of FRET efficiency based on the measurement of fluorescence intensities from fluorescent protein based FRET standards. The example files are included and can be exchanged for a complete set of new ones.
Voltage-2_PC-DNA.fcs : Control cells transfected with empty plasmid for background subtraction.
Voltage-2_gfp.fcs : Control cells transfected with FRET donor only (GFP) for bleed-through correction.
Voltage-2_rfp.fcs : Control cells transfected with FRET acceptor only (RFP) for bleed-through correction.
Voltage-2_7aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
Voltage-2_19aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
Voltage-2_32aa.fcs : Cells transfected with FRET standard featuring 7 aminoacid linker.
A minimum of two different FRET standard samples are required.

Acknowledgements: This repository contains code from

FCS data reader, by Laszlo Balkay (https://www.mathworks.com/matlabcentral/fileexchange/9608-fcs-data-reader)
Flow Cytometry Data Reader and Visualization, by Robert Henson (https://www.mathworks.com/matlabcentral/fileexchange/8430-flow-cytometry-data-reader-and-visualization)

Distributed under the BSD license Jakub Nedbal, 2014 King's College London

Zitieren als

Jakub Nedbal (2024). Ratiometric FRET (https://github.com/jnedbal/ratiometric-fret), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2013b
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Version Veröffentlicht Versionshinweise
1.1.0.0

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1.0.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.