Showing 3 open source projects for "gcxgc"

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  • 1

    Canvas-2DGC

    A user-extensible Freemat based 1DGC and GCxGC data analysis software.

    Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. ...
    Downloads: 0 This Week
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  • 2

    MetaOpen

    Metabolomics Bioinformatics Tools

    ...We use a number of high-throughput analytical platforms including multidimensional liquid chromatography-mass spectrometry (MDLC-MS) for proteomics, and for metabolomics; liquid chromatography-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility.
    Downloads: 1 This Week
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  • 3

    MetCore

    Metabolomics Bioinformatics Tools

    ...We use a number of high-throughput analytical platforms including multidimensional liquid chromatography-mass spectrometry (MDLC-MS) for proteomics, and for metabolomics; liquid chromatography-mass spectrometry (LC-MS), and comprehensive two-dimensional gas chromatography-mass spectrometry (GCxGC/TOF-MS). Each type of analysis affords limited analyte coverage of molecules present in a patient sample and therefore provides only a partial molecular profile for an individual patient. These diverse analytical data must be integrated with advanced bioinformatics methods for accurate evaluation of health and detection of disease susceptibility.
    Downloads: 0 This Week
    Last Update:
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