Data Mining in Protein Identification by Tandem Mass Spectrometry

Data Mining in Protein Identification by Tandem Mass Spectrometry

Author: 
Wang, Haipeng
Place: 
Hershey
Publisher: 
IGI Global
Date published: 
2008
Editor: 
Wang, John
Journal Title: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Source: 
Encyclopedia of Data Warehousing and Mining, Second Edition
Subject: 
Abstract: 

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.

CITATION: Wang, Haipeng. Data Mining in Protein Identification by Tandem Mass Spectrometry edited by Wang, John . Hershey : IGI Global , 2008. Encyclopedia of Data Warehousing and Mining, Second Edition - Available at: https://library.au.int/frdata-mining-protein-identification-tandem-mass-spectrometry