PGCA: An algorithm to link protein groups created from MS/MS data-Reference-Cited by-同舟云学术

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PGCA: An algorithm to link protein groups created from MS/MS data

Published:2017-05-31 Issue:5 Volume:12 Page:e0177569
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Kepplinger David,Takhar Mandeep,Sasaki Mayu,Hollander Zsuzsanna,Smith Derek,McManus Bruce,McMaster W. Robert,Ng Raymond T.,Cohen Freue Gabriela V.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference22 articles.

1. Shotgun proteomics of bacterial pathogens: advances, challenges and clinical implications;M Semanjski;Expert Review of Proteomics,2016

2. Cardiovascular proteomics in the era of big data: experimental and computational advances;MP Lam;Clinical Proteomics,2016

3. Interpretation of Shotgun Proteomic Data: The Protein Inference Problem;AI Nesvizhskii;Molecular and Cellular Proteomics,2005

4. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database;JK Eng;Journal of the American Society for Mass Spectrometry,1994

5. Probability-based protein identification by searching sequence databases using mass spectrometry data;DN Perkins;electrophoresis,1999

Cited by 1 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. Updates on resources, software tools, and databases for plant proteomics in 2016-2017;ELECTROPHORESIS;2018-03-01

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