An Adaptive Pipeline To Maximize Isobaric Tagging Data in Large-Scale MS-Based Proteomics-Reference-Cited by-同舟云学术

An Adaptive Pipeline To Maximize Isobaric Tagging Data in Large-Scale MS-Based Proteomics

Published:2018-04-26 Issue:6 Volume:17 Page:2165-2173
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Corthésy John¹,Theofilatos Konstantinos²,Mavroudi Seferina²³,Macron Charlotte¹^ORCID,Cominetti Ornella¹,Remlawi Mona¹,Ferraro Francesco¹,Núñez Galindo Antonio¹,Kussmann Martin¹,Likothanassis Spiridon²⁴,Dayon Loïc¹^ORCID

Affiliation:

1. Nestlé Institute of Health Sciences, Lausanne 1015, Switzerland

2. InSybio, Ltd., Innovations House, 19 Staple Gardens, Winchester SO238SR, United Kingdom

3. Department of Social Work, School of Sciences of Health and Care, Technological Educational Institute of Western Greece, Patras 26334, Greece

4. Department of Computer Engineering and Informatics, University of Patras, Patras 26500, Greece

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.8b00110

Reference39 articles.

1. How do shotgun proteomics algorithms identify proteins?

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4. Rapid and Deep Human Proteome Analysis by Single-dimension Shotgun Proteomics

5. A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified peptides

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