Lipid-Pro: A computational lipid identification solution for untargeted lipidomics on data-independent acquisition tandem mass spectrometry platforms

Bioinformatics

Volumn 31, Issue 7, 2015, Pages 1150-1153

  Ahmed, Zeeshan ^a   Mayr, Michel ^a   Zeeshan, Saman ^a   Dandekar, Thomas ^a   Mueller, Martin J ^a   Fekete, Agnes ^a  

^a UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

LIPID;

ALGORITHM; COMPUTER PROGRAM; FACTUAL DATABASE; HUMAN; LIQUID CHROMATOGRAPHY; METABOLOMICS; PROCEDURES; TANDEM MASS SPECTROMETRY;

ALGORITHMS; CHROMATOGRAPHY, LIQUID; DATABASES, FACTUAL; HUMANS; LIPIDS; METABOLOMICS; SOFTWARE; TANDEM MASS SPECTROMETRY;

EID: 84929142857     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu796     Document Type: Article

References (8)

1. Foster, J.M. et al. (2013) LipidHome: a database of theoretical lipids optimized for high throughput mass spectrometry lipidomics. PLoS One 8, e61951.
2. Harald, C.K., et al. (2012) Mass spectrometry based lipidomics: an overview of technological platforms. Metabolites 2, 19-38.
3. Hartler, J. et al. (2011) Lipid data analyser: unattended identification and quantification of lipids in LC-MS data. Bioinformatics 27, 572-577.
4. Kind, T. et al. (2013) LipidBlast in silico tandem mass spectrometry database for lipid identification. Nat. Methods 10, 755-758.
5. Murphy, S.A. and Nicolaou, A. (2013) Lipidomics applications in health, disease and nutrition research. Mol. Nutr. Food Res., 57, 1336-1346.
6. Pluskal, T. et al. (2010) MZmine2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinformatics 11, 395-405.
7. Yang, K. et al. (2009) Automated lipid identification and quantification by multidimensional mass spectrometry-based shotgun lipidomics. Anal. Chem., 81, 4356-4368.
8. Wymann, M.P. Schneiter, R. (2008) Lipid signalling in disease. Nat. Rev. Mol. Cell Biol., 9, 162-176.