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Bioinformatics and Computational Biology Solutions Using R and BioconductorSELDI-TOF Mass Spectrometry Protein Data

Bioinformatics and Computational Biology Solutions Using R and Bioconductor: SELDI-TOF Mass... [The term proteome is used to denote the set of proteins encoded by a genome, and proteomics is the study of the expression and interactions of the proteins, which can depend on many factors such as cell type, treatment, tissue type, developmental state, and disease state. Conceptually, this is similar to the transcriptomics technologies discussed in Chapters 2-4; however, due to the more complicated chemistry of proteins, compared to RNA, the field has a different and diverse set of technologies and produces a wide range of specific challenges. Here we discuss one particular mass spectrometry technology.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Bioinformatics and Computational Biology Solutions Using R and BioconductorSELDI-TOF Mass Spectrometry Protein Data

Part of the Statistics for Biology and Health Book Series
Editors: Gentleman, Robert; Carey, Vincent J.; Huber, Wolfgang; Irizarry, Rafael A.; Dudoit, Sandrine

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Publisher
Springer New York
Copyright
© Springer Science+Business Media, Inc. 2005
ISBN
978-0-387-25146-2
Pages
91 –109
DOI
10.1007/0-387-29362-0_6
Publisher site
See Chapter on Publisher Site

Abstract

[The term proteome is used to denote the set of proteins encoded by a genome, and proteomics is the study of the expression and interactions of the proteins, which can depend on many factors such as cell type, treatment, tissue type, developmental state, and disease state. Conceptually, this is similar to the transcriptomics technologies discussed in Chapters 2-4; however, due to the more complicated chemistry of proteins, compared to RNA, the field has a different and diverse set of technologies and produces a wide range of specific challenges. Here we discuss one particular mass spectrometry technology.]

Published: Jan 1, 2005

Keywords: Peak Detection; Average Standard Deviation; Array Surface; Baseline Subtraction; Calibration Spectrum

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