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  Introduction to proteomics technologies.

Lenz, C., & Dihazi, H. (2016). Introduction to proteomics technologies. In K. Jung (Ed.), Statistical analysis in proteomics (pp. 3-27). New York, N.Y.: Springer; Humana Pr. doi:10.1007/978-1-4939-3106-4_1.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-0713-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-DE4E-D
Genre: Book Chapter

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2227916.pdf (Publisher version), 482KB
 
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 Creators:
Lenz, C.1, Author              
Dihazi, H., Author
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1Research Group of Bioanalytical Mass Spectrometry, MPI for Biophysical Chemistry, Max Planck Society, ou_578613              

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 Abstract: Compared to genomics or transcriptomics, proteomics is often regarded as an "emerging technology," i.e., as not having reached the same level of maturity. While the successful implementation of proteomics workflows and technology still requires significant levels of expertise and specialization, great strides have been made to make the technology more powerful, streamlined and accessible. In 2014, two landmark studies published the first draft versions of the human proteome.We aim to provide an introduction specifically into the background of mass spectrometry (MS)-based proteomics. Within the field, mass spectrometry has emerged as a core technology. Coupled to increasingly powerful separations and data processing and bioinformatics solution, it allows the quantitative analysis of whole proteomes within a matter of days, a timescale that has made global comparative proteome studies feasible at last. We present and discuss the basic concepts behind proteomics mass spectrometry and the accompanying topic of protein and peptide separations, with a focus on the properties of datasets emerging from such studies.

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Language(s): eng - English
 Dates: 2015-11-162016
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/978-1-4939-3106-4_1
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Source 1

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Title: Statistical analysis in proteomics
Source Genre: Book
 Creator(s):
Jung, K., Editor
Affiliations:
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Publ. Info: New York, N.Y. : Springer; Humana Pr.
Pages: X, 313 Volume / Issue: - Sequence Number: - Start / End Page: 3 - 27 Identifier: ISBN: 978-1-4939-3105-7

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Title: Methods in Molecular Biology
Source Genre: Series
 Creator(s):
Clifton, N. J., Editor
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Pages: - Volume / Issue: 1362 Sequence Number: - Start / End Page: - Identifier: -