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Oxford University Press (OUP), Bioinformatics, 16(25), p. 2080-2081

DOI: 10.1093/bioinformatics/btp343

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ChromA: signal-based retention time alignment for chromatography–mass spectrometry data

Journal article published in 2009 by Nils Hoffmann ORCID, Jens Stoye
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Summary: We describe ChromA, a web-based alignment tool for chromatography–mass spectrometry data from the metabolomics and proteomics domains. Users can supply their data in open and standardized file formats for retention time alignment using dynamic time warping with different configurable local distance and similarity functions. Additionally, user-defined anchors can be used to constrain and speedup the alignment. A neighborhood around each anchor can be added to increase the flexibility of the constrained alignment. ChromA offers different visualizations of the alignment for easier qualitative interpretation and comparison of the data. For the multiple alignment of more than two data files, the center-star approximation is applied to select a reference among input files to align to.