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Interpretation of Mass Spectra Frantisek Tureek, Fred W. McLafferty
Publisher: University Science Books

In this paper, we present an efficient algorithm, CAMS (Clustering Algorithm for Mass Spectra) for clustering mass spectrometry data which increases both the sensitivity and confidence of spectral assignment. ARTICLE: Interpreting Spectral Energy Distributions from Young Stellar Objects. Scientific sessions were taught by different experts. With special tags, extracting their protein complexes, identifying and characterizing the protein complexes using mass spectrometers and imaging tools, and sending mass spectra and other data to computational biologists for interpretation. Mass spectral interpretation for chromatographers This material is designed to help GC/MS beginners who want to understand a few mass spectral interpretation basics. 14 Introduction to Near-Infrared Spectroscopy: Applications in the Pharmaceutical and Biotech Industries Somerset, NJ http://www.eas.org/. Interpretation of Mass Spectra. In Journal Club, Journal Club 2013 on May 3, 2013 at 8:02 pm. Thus, the algorithm is able to decrease the computational time by compressing the data sets while increasing the throughput of the data by interpreting low S/N spectra. We have shown that this technique has a uniform efficiency as a function of the oligomer's chain length, allowing for the easy interpretation of mass spectra. An introductory level course on the qualitative interpretation of mass spectra of organic, biological, and biochemical compounds. Spectral Analysis Inauguration - Interpretation in Mass Spectroscopy by Dr. These included the following –. CAMS utilizes a novel metric, called F-set, that amount of time for large spectral data sets.