Promoter characterization from plate fluorometer time-course data.
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data
ConvertPlateReader.py
README.md
analyzePlate.m
characterize.m
computeRatiometric.m
correctBackground.m
example.m
fitGompertzModel.m
gompertz3.m
importPlate.m
license.txt
linreg.m
plotProfile.m
selectWindow.m
smoothTimecourse.m

README.md

Platypus

Platereader data analysis for promoter characterisation as described in (CITE). See example.m to get started.

Download and unzip, or clone the code. Then open Matlab and cd into the Platypus directory and try running example.m. You can also add Platypus to your Matlab path in the usual way.

(c) Tim Rudge, 2014 (Provided under GPL v3 license, see license.txt or http://www.gnu.org/copyleft/gpl.html)