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Incorporates DT-CWT (Dual-Tree Complex Wavelet Transformation) along with SURE for spectra smoothing thus avoiding the overhead of customizing the method for different datasets by setting parameters. The proposed mAPV model, with an optimization algorithm, is a promising method to model peaks in MS data, which aids in identifying underlying biomolecules and determining their abundances accurately. The proposed algorithm has a potential advantage over the existing methods for low resolution MS data having overlapped peak distributions and asymmetric peaks, which is quite common in metabolomics and proteomics studies.

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mAPV classification

mAPV specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
MATLAB
Computer skills:
Advanced
Source code URL:
https://sourceforge.net/p/mapv/code/ref/master/
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable

Publications

  • (Wijetunge et al., 2015) A new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model. BMC Genomics.
    PMID: 26680279

Credits

Institution(s)

Department of Mechanical Engineering, University of Melbourne, Parkville, VIC, Australia; Metabolomics Australia, School of Biosciences, University of Melbourne, Parkville, VIC, Australia

Funding source(s)

This work is partially funded by Australian Research Council grant DP150103512, IPRS and APA scholarships of The University of Melbourne.

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