pyFRET: A Python Library for Single Molecule Fluorescence Data Analysis


Type
Conference Object
Change log
Authors
Murphy, RR 
Jackson, SE 
Abstract

Single molecule Förster resonance energy transfer (smFRET) is a powerful experimental technique for studying the properties of individual biological molecules in solution. However, as adoption of smFRET techniques becomes more widespread, the lack of available software, whether open source or commercial, for data analysis, is becoming a significant issue. Here, we present pyFRET, an open source Python package for the analysis of data from single-molecule fluorescence experiments from freely diffusing biomolecules. The package provides methods for the complete analysis of a smFRET dataset, from burst selection and denoising, through data visualisation and model fitting. We provide support for both continuous excitation and alternating laser excitation (ALEX) data analysis. pyFRET is available as a package downloadable from the Python Package Index (PyPI) under the open source three-clause BSD licence, together with links to extensive documentation and tutorials, including example usage and test data. Additional documentation including tutorials is hosted independently on ReadTheDocs. The code is available from the free hosting site Bitbucket. Through distribution of this software, we hope to lower the barrier for the adoption of smFRET experiments by other research groups and we encourage others to contribute modules for specific analysis needs.

Description
Keywords
smFRET, single-molecule, confocal, python, fluorescence
Journal Title
Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014)
Conference Name
7th European Conference on Python in Science (EuroSciPy 2014)
Journal ISSN
Volume Title
1412
Publisher
arXiv