This method uses wavelets to detect peaks within a chromatogram. A series of wavelets of different scales is convolved with the chromatogram. Local maxima in the convolution results determine the locations of possible peaks. When these candidate peak locations co-occur at multiple scales then the scale with the strongest response indicates peak width. Given the candidate peak locations and scales, peaks can then be reconstructed from the original chromatogram. Full details of the algorithm are published in Tautenhahn et al. [1].
The Wavelets detector relies on Bioconductor's XCMS package for R [2]. Therefore, you must have R v2.15 or later installed. To install the XCMS package, run R and issue the following commands:
source("http://bioconductor.org/biocLite.R") biocLite("xcms")
To run R from MZmine the Rserve package [3] must be installed in R, so also run the following R command:
install.packages("Rserve")
[1] Ralf Tautenhahn, Christoph Böttcher, and Steffen Neumann "Highly sensitive feature detection for high resolution LC/MS" BMC Bioinformatics 2008, 9:504
[2] Bioconductor XCMS "LC/MS and GC/MS Data Analysis" http://www.bioconductor.org/packages/release/bioc/html/xcms.html.
[3] Rserve "A TCP/IP server which allows other programs to use facilities of R" https://rforge.net/Rserve/.