General Information
| Description | Automated analysis of fluorescence decay after photoconversion (FDAP) experiments |
| Homepage | http://people.tuebingen.mpg.de/mueller-lab |
Publications
PyFDAP: automated analysis of fluorescence decay after photoconversion (FDAP) experiments
Summary:
We developed the graphical user interface PyFDAP for the fitting of linear and non-linear decay functions to data from fluorescence decay after photoconversion (FDAP) experiments. PyFDAP structures and analyses large FDAP datasets and features multiple fitting and plotting options.
Availability and implementation:
PyFDAP was written in Python and runs on Ubuntu Linux, Mac OS X and Microsoft Windows operating systems. The software, a user guide and a test FDAP dataset are freely available for download from http://people.tuebingen.mpg.de/mueller-lab.
Contact:
pmueller@tue.mpg.de
Supplementary information:
Supplementary data are available at Bioinformatics online.
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