Publication
Title
Getting your peaks in line : a review of alignment methods for NMR spectral data
Author
Abstract
One of the most significant challenges in the comparative analysis of Nuclear Magnetic Resonance (NMR) metabolome profiles is the occurrence of shifts between peaks across different spectra, for example caused by fluctuations in pH, temperature, instrument factors and ion content. Proper alignment of spectral peaks is therefore often a crucial preprocessing step prior to downstream quantitative analysis. Various alignment methods have been developed specifically for this purpose. Other methods were originally developed to align other data types (GC, LC, SELDI-MS, etc.), but can also be applied to NMR data. This review discusses the available methods, as well as related problems such as reference determination or the evaluation of alignment quality. We present a generic alignment framework that allows for comparison and classification of different alignment approaches according to their algorithmic principles, and we discuss their performance.
Language
English
Source (journal)
Metabolites
Publication
2013
ISSN
2218-1989
DOI
10.3390/METABO3020259
Volume/pages
3 :2 (2013) , p. 259-276
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Intelligent analysis and data-mining of mass spectrometry-based proteome data.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 17.04.2013
Last edited 15.03.2022
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