Data analysis code and example datasets for ratiometric FRET analysis
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"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
Citation pour cette source
Jakub Nedbal (2026). Ratiometric FRET (https://github.com/jnedbal/ratiometric-fret), GitHub. Extrait(e) le .
Remerciements
Inspiré par : Flow Cytometry Data Reader and Visualization, fca_readfcs
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.1.0.0 | Added image. |
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| 1.0.0.0 |
