A multicenter study benchmarks software tools for label-free proteome quantification-Reference-Cited by-同舟云学术

A multicenter study benchmarks software tools for label-free proteome quantification

Published:2016-10-03 Issue:11 Volume:34 Page:1130-1136
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Navarro Pedro,Kuharev Jörg^ORCID,Gillet Ludovic C,Bernhardt Oliver M,MacLean Brendan,Röst Hannes L,Tate Stephen A,Tsou Chih-Chiang,Reiter Lukas,Distler Ute,Rosenberger George^ORCID,Perez-Riverol Yasset^ORCID,Nesvizhskii Alexey I,Aebersold Ruedi,Tenzer Stefan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt.3685.pdf

Reference48 articles.

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3. Distler, U., Kuharev, J. & Tenzer, S. Biomedical applications of ion mobility-enhanced data-independent acquisition-based label-free quantitative proteomics. Expert Rev. Proteomics 11, 675–684 (2014).

4. Gillet, L.C. et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol. Cell. Proteomics 11, O111.016717 (2012).

5. Geromanos, S.J., Hughes, C., Ciavarini, S., Vissers, J.P.C. & Langridge, J.I. Using ion purity scores for enhancing quantitative accuracy and precision in complex proteomics samples. Anal. Bioanal. Chem. 404, 1127–1139 (2012).

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