Abstract: There is provided a method of automatically identifying and characterizing spectral peaks of a spectrum generated by an analytical apparatus and reporting information relating to the spectral peaks to a user, comprising the steps of: receiving the spectrum generated by the analytical apparatus; automatically subtracting a baseline from the spectrum so as to generate a baseline-corrected spectrum; automatically detecting and characterizing the spectral peaks in the baseline-corrected spectrum; and reporting at least one item of information relating to each detected and characterized spectral peak to a user. In embodiments, baseline model curve parameters or peak model curve parameters are neither input by nor exposed to the user prior to the reporting step.

Abstract: The present invention comprises a method and system for accurate estimation of the ion cyclotron resonance (ICR) parameters in Fourier-transform mass spectrometry (FTMS/FT-ICR MS). The parameters are essential to estimating the mass to charge ratio of an ion from FT-ICR MS data, the intended purpose of the instrument. Achieving greater accuracy in the parameters assists in greater accuracy of the mass to charge ratio of an ion, and obtaining an accurate estimation of the mass to charge ratio of an ion further aides in detecting mass with sub-ppm accuracy. Estimating mass in this manner enhances identification and characterization of large molecules. The inventive method and system thereby enhances the data obtained by conventional FTMS by accurately estimating ICR parameters. Ultimately, accurate estimates of the masses of molecules and detection and characterization of molecules from FT-ICR MS data are obtained.

Abstract: The invention relates to a mass spectrometry calibration system that may be performed in real-time using the information contained within a sample without the addition of specific calibrants. When applied to a sample, such as a proteomic sample, the calibration system may identify the exact masses of peptides in the sample. The system involves the use of mathematical algorithms that iteratively estimate the error in the measurement and update the calibration parameters accordingly; thereby resulting in peptide mass identification.

Abstract: A computational method system, and computer program are provided for inferring functional links from genome sequences. One method is based on the observation that some pairs of proteins A′ and B′ have homologs in another organism fused into a single protein chain AB. A trans-genome comparison of sequences can reveal these AB sequences, which are Rosetta Stone sequences because they decipher an interaction between A′ and B. Another method compares the genomic sequence of two or more organisms to create a phylogenetic profile for each protein indicating its presence or absence across all the genomes. The profile provides information regarding functional links between different families of proteins. In yet another method a combination of the above two methods is used to predict functional links.