Literature DB >> 19138127

Alignment using variable penalty dynamic time warping.

David Clifford1, Glenn Stone, Ivan Montoliu, Serge Rezzi, François-Pierre Martin, Philippe Guy, Stephen Bruce, Sunil Kochhar.   

Abstract

In this article we highlight a novel variation on dynamic time warping (DTW) for aligning chromatogram signals. We are interested in sets of signals that can be aligned well locally, but not globally, by shifting individual signals in time. This kind of alignment is often sufficient for aligning gas chromatography data. Regular DTW often "over-warps" signals and introduces artificial features into the aligned data. To overcome this we introduce a variable penalty into the DTW process. The penalty is added to the distance metric whenever a nondiagonal step is taken. We select our penalty based on a morphological dilation of the two signals. We showcase our method by aligning GC/MS datafiles from 712 blood plasma samples processed in 23 batches over the course of 6 months. The use of variable penalty DTW significantly reduces the number of nondiagonal moves. In the examples presented here, this reduction is by a factor of 30, with no cost to visual quality of the alignment.

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Mesh:

Year:  2009        PMID: 19138127     DOI: 10.1021/ac802041e

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  msCompare: a framework for quantitative analysis of label-free LC-MS data for comparative candidate biomarker studies.

Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

2.  Variable reference alignment: an improved peak alignment protocol for NMR spectral data with large intersample variation.

Authors:  Neil MacKinnon; Wencheng Ge; Amjad P Khan; Bagganahalli S Somashekar; Pratima Tripathi; Javed Siddiqui; John T Wei; Arul M Chinnaiyan; Thekkelnaycke M Rajendiran; Ayyalusamy Ramamoorthy
Journal:  Anal Chem       Date:  2012-05-29       Impact factor: 6.986

3.  Getting your peaks in line: a review of alignment methods for NMR spectral data.

Authors:  Trung Nghia Vu; Kris Laukens
Journal:  Metabolites       Date:  2013-04-15

Review 4.  Analytical methods in untargeted metabolomics: state of the art in 2015.

Authors:  Arnald Alonso; Sara Marsal; Antonio Julià
Journal:  Front Bioeng Biotechnol       Date:  2015-03-05

5.  Automatic time-shift alignment method for chromatographic data analysis.

Authors:  Qing-Xia Zheng; Hai-Yan Fu; He-Dong Li; Bing Wang; Cui-Hua Peng; Sheng Wang; Jun-Lan Cai; Shao-Feng Liu; Xiao-Bing Zhang; Yong-Jie Yu
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

6.  Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets.

Authors:  Nils Hoffmann; Matthias Keck; Heiko Neuweger; Mathias Wilhelm; Petra Högy; Karsten Niehaus; Jens Stoye
Journal:  BMC Bioinformatics       Date:  2012-08-27       Impact factor: 3.169

  6 in total

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