Literature DB >> 20576623

Chromaligner: a web server for chromatogram alignment.

San-Yuan Wang1, Tsung-Jung Ho, Ching-Hua Kuo, Yufeng J Tseng.   

Abstract

UNLABELLED: Chromaligner is a tool for chromatogram alignment to align retention time for chromatographic methods coupled to spectrophotometers such as high performance liquid chromatography and capillary electrophoresis for metabolomics works. Chromaligner resolves peak shifts by a constrained chromatogram alignment. For a collection of chromatograms and a set of defined peaks, Chromaligner aligns the chromatograms on defined peaks using correlation warping (COW). Chromaligner is faster than the original COW algorithm by k(2) times, where k is the number of defined peaks in a chromatogram. It also provides alignments based on known component peaks to reach the best results for further chemometric analysis. AVAILABILITY: Chromaligner is freely accessible at http://cmdd.csie.ntu.edu.tw/~chromaligner.

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Year:  2010        PMID: 20576623     DOI: 10.1093/bioinformatics/btq337

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Feature based retention time alignment for improved HDX MS analysis.

Authors:  John D Venable; William Scuba; Ansgar Brock
Journal:  J Am Soc Mass Spectrom       Date:  2013-02-22       Impact factor: 3.109

2.  Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.

Authors:  Masahiro Sugimoto; Masato Kawakami; Martin Robert; Tomoyoshi Soga; Masaru Tomita
Journal:  Curr Bioinform       Date:  2012-03       Impact factor: 3.543

3.  Chemodiversity of Calophyllum inophyllum L. oil bioactive components related to their specific geographical distribution in the South Pacific region.

Authors:  Joape Ginigini; Gaël J Lecellier; Mael Nicolas; Mohammed Nour; Edouard Hnawia; Nicolas Lebouvier; Gaëtan Herbette; Peter Lockhart; Phila Raharivelomanana
Journal:  PeerJ       Date:  2019-05-22       Impact factor: 2.984

4.  Separation of Chromatographic Co-Eluted Compounds by Clustering and by Functional Data Analysis.

Authors:  Aneta Sawikowska; Anna Piasecka; Piotr Kachlicki; Paweł Krajewski
Journal:  Metabolites       Date:  2021-03-31

Review 5.  Chronic Kidney Disease Cohort Studies: A Guide to Metabolome Analyses.

Authors:  Ulla T Schultheiss; Robin Kosch; Fruzsina Kotsis; Michael Altenbuchinger; Helena U Zacharias
Journal:  Metabolites       Date:  2021-07-16
  5 in total

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