General Statistical Modeling of Data from Protein Relative Expression Isobaric Tags-Reference-Cited by-同舟云学术

General Statistical Modeling of Data from Protein Relative Expression Isobaric Tags

Published:2011-05-11 Issue:6 Volume:10 Page:2758-2766
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Breitwieser Florian P.¹,Müller André¹,Dayon Loïc²,Köcher Thomas³,Hainard Alexandre²,Pichler Peter⁴,Schmidt-Erfurth Ursula⁵,Superti-Furga Giulio¹,Sanchez Jean-Charles²,Mechtler Karl³,Bennett Keiryn L.¹,Colinge Jacques¹

Affiliation:

1. CeMM, Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria

2. Biomedical Proteomics Group, Department of Structural Biology and Bioinformatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland

3. Institute of Molecular Pathology, Vienna, Austria

4. CD Laboratory for Proteome Analysis, University of Vienna, 1030 Vienna, Austria

5. Department of Ophtalmology, Medical University of Vienna, Vienna, Austria

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr1012784

Reference44 articles.

1. Mass spectrometry-based proteomics

2. Mass Spectrometry and Protein Analysis

3. Mass Spectrometry Based Targeted Protein Quantification: Methods and Applications

4. A Comparison of Labeling and Label-Free Mass Spectrometry-Based Proteomics Approaches

5. Quantification in Proteomics through Stable Isotope Coding: A Review

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