deletions | additions       diff --git a/bibliography/biblio.bib b/bibliography/biblio.bib  index a19717a..4e34904 100644  --- a/bibliography/biblio.bib  +++ b/bibliography/biblio.bib 
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number = {10},  pages = {104509},  author = {Brian A. Camley and Frank L. H. Brown and Everett A. Lipman},  title = {{Förster {{F\"{o}rster  transfer outside the weak-excitation limit}}, journal = {J. Chem. Phys.},  } 
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number = {1},  pages = {014707},  author = {Irina Gopich and Attila Szabo},  title = {{Theory of photon statistics in single-molecule Förster F\"{o}rster  resonance energy transfer}}, journal = {J. Chem. Phys.},  } 
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doi = {10.1007/978-1-4612-2544-7_5},  url = {http://dx.doi.org/10.1007/978-1-4612-2544-7_5},  year = {1995},  publisher = {Springer Science $\mathplus$ $+$  Business Media}, pages = {55--81},  author = {Jonathan B. Buckheit and David L. Donoho},  title = {{{WaveLab} and Reproducible Research}}, 
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@article{Murphy2014,  abstract = {Single molecule F$\backslash$orster F\"{o}rster  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.}, archiveprefix = {arXiv},  arxivid = {1412.6402},  author = {Murphy, Rebecca R. and Jackson, Sophie E. and Klenerman, David},  diff --git a/preamble.tex b/preamble.tex  index 951494d..f46eea8 100644  --- a/preamble.tex  +++ b/preamble.tex 
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