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Biostatistical Methods pp 51–80Cite as

Statistical Methods for Proteomics

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 184))

Abstract

What is Proteomics? The term proteome denotes the PROTEin complement expressed by a genOME or tissue. While the genome is an invariant feature of an organism, the proteome depends on its developmental stage, the tissue considered, and environmental/experimental conditions. There are more proteins in a proteome than genes in genome (which is particularly true for eukaryotes). For instance, there are several ways to splice a gene to generate messenger ribonucleic acid (mRNA). Furthermore, proteins can undergo posttranslational alterations such as truncation at the amino- (N)- and carboxy (C)-terminus and addition of saccharide or phosphate groups.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Statistics, University of Maryland, Baltimore Country, Baltimore, MD

    Françoise Seillier-Moiseiwitsch

  2. Signal Processing, Clinical Technology, Pfizer Global Research and Development, Groton, CT

    Donald C. Trost

  3. Department of Endodontics, School of Dentistry, University of Maryland, Baltimore, MD

    Julian Moiseiwitsch

Authors
  1. Françoise Seillier-Moiseiwitsch
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  2. Donald C. Trost
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  3. Julian Moiseiwitsch
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Editor information

Editors and Affiliations

  1. University of Louisville School of Medicine, Louisville, Kentucky

    Stephen W. Looney

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© 2002 Humana Press Inc., Totowa, NJ

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Seillier-Moiseiwitsch, F., Trost, D.C., Moiseiwitsch, J. (2002). Statistical Methods for Proteomics. In: Looney, S.W. (eds) Biostatistical Methods. Methods in Molecular Biology™, vol 184. Humana Press. https://doi.org/10.1385/1-59259-242-2:051

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  • DOI: https://doi.org/10.1385/1-59259-242-2:051

  • Publisher Name: Humana Press

  • Print ISBN: 978-0-89603-951-3

  • Online ISBN: 978-1-59259-242-5

  • eBook Packages: Springer Protocols

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