LipidQA - RASpicer/MetabolomicsTools GitHub Wiki
LipidQA
Website
Description
Lipid Qualitative/Quantitative Analysis (LipidQA) provides smoothing, noise reduction, deconvolution, deisotoping, normalisation and metabolite identification of DI-MS lipidomics data. Peak lists are loaded and then can optionally undergo 5-point triangular smoothing and noise filtering. Next the data are deconvoluted and deisotoped. MS/MS data are searched against a fragment ion database (existing within the website) for identification. If a m/z value does not match any recorded MS/MS spectra, a lipid chemical formula database is searched and identified formulas are used to generate theoretical isotope distributions for deisotoping. Finally there are two options for quantification: Absolute Quantification and Lipid Phosphorus Normalisation. In absolute quantification, relative intensity values are compared to a calibration curve for quantification. For lipid phosphorus normalisation, the lipid phosphorus content must be specified and the quantify of each lipid species is normalised to this value.
Functionality
- Preprocessing
- Post-processing
- Annotation
Instrument Data Type
- MS/DI-MS/DI-MS/MS
Approaches
- Lipidomics
Computer Skills
Advanced
Software Type
Web App
Interface
Web user interface
Operating System (OS)
- Unix/Linux
- Mac OS
- Windows
Language
C++
Dependencies
N/A
Input Formats - Open
mzXML
Input Formats - Proprietary
Finnigan .raw
Published
2007
Last Updated
2014
License
Paper
http://www.ncbi.nlm.nih.gov/pubmed/17720531
PMID
17720531