A Markov Chain Monte Carlo Method for Estimating the Statistical Significance of Proteoform Identifications by Top-Down Mass Spectrometry-Reference-Cited by-同舟云学术

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A Markov Chain Monte Carlo Method for Estimating the Statistical Significance of Proteoform Identifications by Top-Down Mass Spectrometry

Published:2019-01-14 Issue:3 Volume:18 Page:878-889
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Kou Qiang¹^ORCID,Wang Zhe²,Lubeckyj Rachele A.³,Wu Si²^ORCID,Sun Liangliang³^ORCID,Liu Xiaowen¹⁴

Affiliation:

1. Department of BioHealth Informatics, Indiana University–Purdue University Indianapolis, Indianapolis, Indiana 46202, United States

2. Department of Chemistry and Biochemistry, The University of Oklahoma, Norman, Oklahoma 73019-5251, United States

3. Department of Chemistry, Michigan State University, East Lansing, Michigan 48824-1332, United States

4. Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States

Funder

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.8b00562

Reference39 articles.

1. Top-down mass spectrometry: Recent developments, applications and perspectives

2. How many human proteoforms are there?

3. Top Down proteomics: Facts and perspectives

4. High Throughput Characterization of Combinatorial Histone Codes

5. A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Top-down proteomics;Nature Reviews Methods Primers;2024-06-13

2. Proteoform characterization based on top-down mass spectrometry;Briefings in Bioinformatics;2020-03-02

3. Identification and Quantification of Proteoforms by Mass Spectrometry;PROTEOMICS;2019-05

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