Ratiometric FRET

Data analysis code and example datasets for ratiometric FRET analysis

https://github.com/jnedbal/ratiometric-fret

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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

Citar como

Jakub Nedbal (2026). Ratiometric FRET (https://github.com/jnedbal/ratiometric-fret), GitHub. Recuperado .

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux

No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión Action
1.1.0.0

Added image.

1.0.0.0

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Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.