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  Optimization of experimental parameters in data-independent mass spectrometry significantly increases depth and reproducibility of results

Bruderer, R., Bernhardt, O. M., Gandhi, T., Xuan, Y., Sondermann, J., Schmidt, M., et al. (2017). Optimization of experimental parameters in data-independent mass spectrometry significantly increases depth and reproducibility of results. Molecular and Cellular Proteomics, 16(12), 2296-2309. doi:10.1074/mcp.RA117.000314.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-2E6A-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-2E6B-6
Genre: Journal Article

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 Creators:
Bruderer, Roland, Author
Bernhardt, Oliver M., Author
Gandhi, Tejas, Author
Xuan, Yue, Author
Sondermann, Julia1, Author           
Schmidt, Manuela1, Author           
Gomez-Varela, David1, Author           
Reiter, Lukas, Author
Affiliations:
1Somatosensory signaling, Max Planck Institute of Experimental Medicine, Max Planck Society, ou_2173669              

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Language(s): eng - English
 Dates: 20172017-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1074/mcp.RA117.000314
 Degree: -

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Title: Molecular and Cellular Proteomics
Source Genre: Journal
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Publ. Info: Bethesda, MD : American Society for Biochemistry and Molecular Biology
Pages: - Volume / Issue: 16 (12) Sequence Number: - Start / End Page: 2296 - 2309 Identifier: ISSN: 1535-9476
CoNE: https://pure.mpg.de/cone/journals/resource/111035577487002