A protein identification algorithm for tandem mass spectrometry by incorporating the abundance of mRNA into a binomial probability scoring model

2019 ◽  
Vol 197 ◽  
pp. 53-59 ◽  
Author(s):  
Wen-Tai Ma ◽  
Zhao-Yu Liu ◽  
Xiao-Zhou Chen ◽  
Zhen-Liang Lin ◽  
Zhong-Bing Zheng ◽  
...  
2011 ◽  
Vol 10 (4) ◽  
pp. 1593-1602 ◽  
Author(s):  
Wenzhou Li ◽  
Li Ji ◽  
Jonathan Goya ◽  
Guanhong Tan ◽  
Vicki H. Wysocki

Author(s):  
Haipeng Wang

Protein identification (sequencing) by tandem mass spectrometry is a fundamental technique for proteomics which studies structures and functions of proteins in large scale and acts as a complement to genomics. Analysis and interpretation of vast amounts of spectral data generated in proteomics experiments present unprecedented challenges and opportunities for data mining in areas such as data preprocessing, peptide-spectrum matching, results validation, peptide fragmentation pattern discovery and modeling, and post-translational modification (PTM) analysis. This article introduces the basic concepts and terms of protein identification and briefly reviews the state-of-the-art relevant data mining applications. It also outlines challenges and future potential hot spots in this field.


2006 ◽  
Vol 6 (3) ◽  
pp. 527-536 ◽  
Author(s):  
Thomas S. Price ◽  
Margaret B. Lucitt ◽  
Weichen Wu ◽  
David J. Austin ◽  
Angel Pizarro ◽  
...  

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