this is for holding javascript data
Antonino Ingargiola Line wrapping
over 9 years ago
Commit id: a042cfe0cfb3cc562a6400f0f304e8be9de569bf
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Single-molecule FRET (smFRET) allows probing intermolecular interactions
and conformational changes in biomacromolecules, and represent an
invaluable tool in studying cellular processes on the molecular
scale\cite{Kapanidis_2006}. scale~\cite{Kapanidis_2006}. smFRET experiments can detect the distance between
two fluorescent labels (\textit{donor} and \textit{acceptor}) in the
3-10~nm range. In the commonly employed confocal geometry, molecules are free
to diffuse in a solution. When a molecule traverses the excitation volume it
emits a burst of photons that can be detected by single-photon detectors (SPADs).
The relative intensities of signals from donor and acceptor fluorescence
are related to the distance between the two dyes.
smFRET experiments are sometimes considered complex to properly analyze.
The analysis of smFRET experiments involves identifying photon bursts from
single-molecules in a continuous stream of photon timestamps, estimating the
background and other correction factors, filtering and extracting the corrected
FRET efficiencies for each sub-population in the sample. In order to ease
the process, we herein present FRETBursts, a new software for smFRET data
analysis that includes most of the common state-of-the-art algorithms.
We follow the highest standard in software development to ensure that
the free source is easy to read, well documented and thoroughly tested.
Moreover, in an effort to lower the barriers to computational reproducibility,
we embrace a modern workflow based on ipython notebooks that allows capture
of the whole process from raw data to figures within a single document.