Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975

Susmita Datta

Susmita Datta
School of Public Health and Information Science,

  • Research Article
    A Statistical Technique for Monoisotopic Peak Detection in a Mass Spectrum
    Author(s): Mourad Atlas and Susmita DattaMourad Atlas and Susmita Datta

    Mass spectrometry has emerged as a core technology for high throughput proteomics profiling. It has enormous potential in biomedical research. However, the complexity of the data poses new statistical challenges for the analysis. Statistical methods and software developments for analyzing proteomic data are likely to continue to be a major area of research in the coming years. In this paper, a novel statistical method for analyzing high dimensional MALDI-TOF mass- spectrometry data in proteomic research is proposed. The chemical knowledge regarding isotopic distribution of the peptide molecules along with quantitative modeling is used to detect chemically valuable peaks from each spectrum. More specifically, a mixture of location-shifted Poisson distribution is fitted to the deamidated isotopic distribution of a peptide molecule. Maximum likelihood estimation by the e.. View More»
    DOI: 10.4172/jpb.1000078

    Abstract PDF

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