  Mass Spectrometry (MS) is a largely used analytical technique in biology with
applications such as the determination of molecule masses or the elucidation of
structural data. Fourier Transform Ion Cyclotron Resonance MS is one
implementation of the technique allowing high resolution and mass accuracy and
based on trapping ions in circular orbits thanks to powerful Electromagnetic
fields. This method has been extended to two-dimensional analysis, this gives
signals containing a lot more information, for a reasonable amount of time and
samples. However, the data provided by such experiments cannot be stored in a
classical manner and require some tools and architecture to store and compress
data so that they remain accessible and usable without necessitating too much
computer memory. The developed python program permits to turn these huge raw
data into exploitable FTICR MS HDF5 formatted datasets which can be relatively
rapidly and efficiently deconvolved and analysed using a Primal-Dual Splitting
algorithm.
