LPPtiger is a pioneer in the field of high-throughput identification of oxidized phospholipids. With its unique ability to perform in silico oxidation and theoretical CID fragmentation, LPPtiger can predict oxidized lipids from a given lipidome, and identify corresponding predicted structures. We also introduced a five-criteria score system to evaluate the identification quality and provide highly confident identification results.
For more details of the algorithms behind LPPtiger software, please read our publication:
LPPtiger software for lipidome-specific prediction and identification of oxidized phospholipids from LC-MS datasets Zhixu Ni, Georgia Angelidou, Ralf Hoffmann, and Maria Fedorova Scientific Reports 7, Article number: 15138 (2017) DOI: 10.1038/s41598-017-15363-z
LPPtiger User guide: https://bitbucket.org/SysMedOs/lpptiger_exe/downloads/LPPtiger_User_Guide.pdf
LPPtiger Source code version: https://bitbucket.org/SysMedOs/lpptiger
LPPtiger for Windows: https://bitbucket.org/SysMedOs/lpptiger_exe/downloads/
LPPtiger is dual-licensed
- For academic and non-commercial use: GPLv2 License:
- For commercial use: please contact the develop team by email.