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Proteomics with Mass Spectrometry

Proteomics with Mass Spectrometry

Simon Lin, Salvatore Mungal, Richard Haney, Edward F. Patz Jr., Patrick McConnell
Copyright: © 2006 |Pages: 19
ISBN13: 9781591408635|ISBN10: 1591408636|ISBN13 Softcover: 9781591408642|EISBN13: 9781591408659
DOI: 10.4018/978-1-59140-863-5.ch005
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MLA

Lin, Simon, et al. "Proteomics with Mass Spectrometry." Advanced Data Mining Technologies in Bioinformatics, edited by Hui-Huang Hsu, IGI Global, 2006, pp. 85-103. https://doi.org/10.4018/978-1-59140-863-5.ch005

APA

Lin, S., Mungal, S., Haney, R., Patz Jr., E. F., & McConnell, P. (2006). Proteomics with Mass Spectrometry. In H. Hsu (Ed.), Advanced Data Mining Technologies in Bioinformatics (pp. 85-103). IGI Global. https://doi.org/10.4018/978-1-59140-863-5.ch005

Chicago

Lin, Simon, et al. "Proteomics with Mass Spectrometry." In Advanced Data Mining Technologies in Bioinformatics, edited by Hui-Huang Hsu, 85-103. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-863-5.ch005

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Abstract

This chapter provides a rudimentary review of the field of proteomics as it applies to mass spectrometry, data handling, and analysis. It points out the potential significance of the field suggesting that the study of nuclei acids has its limitations and that the progressive field of proteomics with spectrometry in tandem with transcription studies could potentially elucidate the link between RNA transcription and concomitant protein expression. Furthermore, we describe the fundamentals of proteomics with mass spectrometry and expound the methodology necessary to manage the vast amounts of data generated in order to facilitate statistical analysis. We explore the underlying technologies with the intention to demystify the complexities of the nascent field and to fuel interest by readers in the near future.

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