Intensity-independent noise filtering of FTMS to accelerate LipidXplorer
Dr. Kai Schuhmann
Dear all,
Do you think lipidomics is about big data? And, waiting for results is a part of your daily meditation? Then you should probably filter your data.
For this, we invented a method for intensity-independent noise filtering in FT MS and FT MS/MS shotgun spectra. In our experiments, more than 95 % of signals could be removed from FT MS/MS spectra without compromising scope of lipid identification and quantification accuracy. As a consequence, spectra processing was at least 15x faster, and memory shortage became a thing of the past.
The methods description is published in Analytical Chemistry.
http://pubs.acs.org/doi/abs/10.1021/acs.analchem.7b00794
The filter itself is available and ready to use via open-source software ‘Peakstrainer'.
https://git.mpi-cbg.de/labShevchenko/PeakStrainer/wikis/Download
By the way, LipidXplorer 1.2.7 is now available as single-file installer.
https://git.mpi-cbg.de/labShevchenko/LipidXplorer/wikis/Single_file_installer
For both application: unzip the package, double-click the batch file, and there you go!
With best regards,
Kai Schuhmann
Postdoc Researcher at Shevchenko Lab
Max Planck Institute of Molecular Cell Biology and Genetics
Dresden
AYCIRIEX SOPHIE
Congrats Kai for this huge and beautiful work ! For sure it will be used extensively by the community!
Well done,
All the best,
Sophie
Envoyé : mardi 6 juin 2017 16:21
À : lipidxplorer-d...@googlegroups.com
Objet : Intensity-independent noise filtering of FTMS to accelerate LipidXplorer
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