High-throughput lipid identification is a bottle-neck of current lipidomic analysis. Efficient software solutions capable to provide precise and accurate identification from large mass spectrometry based lipidomics data can largely accelerate the data processing process.
Within SysMedOS project we have developed three software tools for the high-throughput data analysis for both native and oxidized phospholipids.
  • LipidLynxX – lipid annotations converter for large scale lipidomics and epilipidomics datasets
  • LipidHunter 2 – tool for de novo identification of native Lyso PL, PL, DG, and TG
  • LPPtiger – tool for prediction and identification of oxidized phospholipids
  • LipidCircos – tool for visualization of identified phospholipids via Circos plot
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