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MetaQuant 1.3.5

Company: Boyke Bunk
Date Added: August 07, 2013  |  Visits: 356

MetaQuant

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MetaQuant is a Java based program for the automatic and accurate quantification of GC/MS based metabolome data. In contrast to other programs MetaQuant is able to quantify hundreds of substances simultaneously without manual intervention. The integration of a self-acting calibration function allows the parallel and fast calibration for several metabolites. Finally, MetaQuant is able to import GC/MS data in the common NetCDF format and to export the results of the quantification into Microsoft Excel format.<br /><br />Currently implemented features:<br /><br /> * Import of GC/MS data in a particular CSV or netCDF format<br /> * Automatic, lab tested peak recognition and peak integration algorithms<br /> * Automatic calibration function<br /> * Different regression algorithms<br /> * Usage of retention times or retention indices for compound definition, calibration and analysis<br /> * Quantification with or without prior calibration<br /> * Improved peak analysis correction functions with possibility of summarization and manual integration<br /> * Export of quantification results into MS-Excel, XML , CSV and SBML file format<br /> * Graphical Batch-Analysis with possibility of analysis comparison<br /> * Powerful commandline-based Batch-Analysis with or without MetaQuant config file (.mcfg)<br /> * Commandline analysis creates a MetaQuant result file (.mres), which can be opened with the GUI version<br /> * new Compound classification options (e. g. KEGG, CAS)<br /> * new Internal standard can be described on preferences panel leading to normalized peak areas<br /> * new Easier calibration with equimolar mixes

Requirements: No special requirements
Platforms: Mac, Mac OSX
Keyword: Algorithms Analysis Automatic Based Batchanalysis Calibration Commandlinebased Comparison Format Function Graphical Integration Manual Metaquant Possibility Powerful Quantification Results Retention
Users rating: 0/10

License: Freeware Size: 11.91 MB
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