Peak Identification and Quantification by Proteomic Mass Spectrogram Decomposition-Reference-Cited by-同舟云学术

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Peak Identification and Quantification by Proteomic Mass Spectrogram Decomposition

Published:2021-03-04 Issue:5 Volume:20 Page:2291-2298
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Taechawattananant Pasrawin¹,Yoshii Kazuyoshi²³,Ishihama Yasushi¹⁴^ORCID

Affiliation:

1. Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan

2. Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan

3. RIKEN Center for Advanced Intelligence Project (AIP), Tokyo 103-0027, Japan

4. Laboratory of Clinical and Analytical Chemistry, National Institute of Biomedical Innovation, Health and Nutrition, Ibaraki, Osaka 567-0085, Japan

Funder

Core Research for Evolutional Science and Technology

National Bioscience Database Center

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.0c00819

Reference24 articles.

1. More than 100,000 Detectable Peptide Species Elute in Single Shotgun Proteomics Runs but the Majority is Inaccessible to Data-Dependent LC−MS/MS

2. MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics

3. Preprocessing and Analysis of LC-MS-Based Proteomic Data

4. Analysis of Liquid Chromatography–Mass Spectrometry Data with an Elastic Net Multivariate Curve Resolution Strategy for Sparse Spectral Recovery

5. Application of non-negative matrix factorization to LC/MS data

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2. The Role of the Journal Impact Factor in Chemistry Research;CHIMIA;2023-02-22

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