Literature DB >> 17418223

Chemometric analysis of complex hyphenated data. Improvements of the component detection algorithm.

W Windig1, W F Smith.   

Abstract

Component detection algorithm (CODA) is a method to quickly extract the high-quality mass chromatograms from complex liquid chromatography/electrospray ionization mass spectrometry (LC/MS) data sets, saving operators hours of analysis time. It appeared, however, that mass chromatograms with a limited baseline problem were ignored. This paper describes several methods to increase the tolerance for mass chromatograms with a baseline.

Mesh:

Year:  2007        PMID: 17418223     DOI: 10.1016/j.chroma.2007.03.081

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  5 in total

1.  apLCMS--adaptive processing of high-resolution LC/MS data.

Authors:  Tianwei Yu; Youngja Park; Jennifer M Johnson; Dean P Jones
Journal:  Bioinformatics       Date:  2009-05-04       Impact factor: 6.937

2.  Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.

Authors:  Tianwei Yu; Yun Bai
Journal:  Curr Metabolomics       Date:  2013-01-01

3.  OpenChrom: a cross-platform open source software for the mass spectrometric analysis of chromatographic data.

Authors:  Philip Wenig; Juergen Odermatt
Journal:  BMC Bioinformatics       Date:  2010-07-30       Impact factor: 3.169

4.  Hybrid feature detection and information accumulation using high-resolution LC-MS metabolomics data.

Authors:  Tianwei Yu; Youngja Park; Shuzhao Li; Dean P Jones
Journal:  J Proteome Res       Date:  2013-02-12       Impact factor: 4.466

5.  Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives.

Authors:  Maud M Koek; Renger H Jellema; Jan van der Greef; Albert C Tas; Thomas Hankemeier
Journal:  Metabolomics       Date:  2010-11-16       Impact factor: 4.290

  5 in total

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