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Solutions

The MsXelerator software for LC/MS data analysis can be applied to a broad range of application areas. Select any of the links below for more information.
 

Expression Proteomics

  1. Find all significant chromatographic peaks in the data
  2. charge state and monoisotopic deconvolution
  3. See how many peaks were found by Mascot and which were not
  4. Fast differential analysis using control/reference sample check
  5. Link with Mascot results
  6. Which interesting differential peaks didn’t have MS/MS spectra
  7. Superior graphics to view all data
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Quantitative Proteomics

  1. Quantitative analysis based on stable isotope labeling
  2. SILAC, SITE, ECAT, ICAT, 14N/15N, 16O/18O
  3. Full 2D precise peak integration
  4. Define your own Isotope Patterns
  5. SILAC Quantification based on Mascot Result File

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BioMarker Discovery and Metabonomics

  1. Comparative Analysis between groups of samples
  2. Detect unique features based on peak or non-peak detection methods
  3. Four different alignment algorithms
  4. Search Mass Spectra or Mass Chromatograms
  5. Multivariate Analysis and statistical validation
  6. Many interactive plots to view and check  results

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Metabolite Profiling

  1. Detect all significant chromatographic peaks in your sample
  2. Fast differential analysis between sample and control (Background Correction)
  3. Metabolite Identification, easily create and edit specific prediction lists
  4. Compare series of samples simultaneously. Quickly detect similarities and different metabolites from species comparison
  5. Fast sensitive detection of Chlorine containing metabolites
  6. Compare series of samples, species comparison
  7. Powerfull graphics

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Impurity and Degradation Profiling

  1. Detect all your peaks at very low levels in seconds
  2. Convert Peaks to Components, delete isotopes, fragments and adducts
  3. Apply Peak Purity Analysis
  4. Degradation Identification
  5. Compare all stress testing samples simultaneously – quickly detect all peaks and create a report in just a few minutes
  6. Align and overlay MS and UVdata
  7. Batch Comparison on series of samples

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