A data mining method performing isotope and charge state decomposition of peptide mass spectra is described. The method uses the peak table as an input and is based on the analysis and decomposition of the mass spectrum structure. Isotope cluster statistics is used as a base of decomposition. This statistic is calculated on a set of simulated mass spectra. The described method is programmed as a fast routine. The  results of real spectra decomposition are presented.