A summary about the most important features of the discussed software packages is given in Table 1. Table 1 Overview about various lipidomic data processing software packages. Developed by AB Sciex, Lipid View is the only commercially available lipidomic processing software so far. The concept of this software is based on the earlier developments of Lipid Profiler [24] and Lipid Inspector [23]. Basically all three software packages rely on shotgun data EPZ5676 mouse acquired by MPIS either on low resolution or high resolution instrumentation. Inhibitors,research,lifescience,medical The software processes information about precursor

and fragment masses obtained from full scan and MS/MS data and matches it against an internal database containing possible fragments for molecular lipid species. On the downside, Lipid View is only able to process data acquired on AB Sciex triple quadrupole or quadrupole-TOF instruments, which severely limits the software’s availability to the lipid mass spectrometry community. Recently, the group of Shevchenko has launched LipidXplorer,

Inhibitors,research,lifescience,medical an informatics concept based on molecular fragmentation query language (MFQL) [75]. LipidXplorer is designed for shotgun lipidomics and takes MS full scan data and product ion scans into account. Although Inhibitors,research,lifescience,medical it is also possible to process low resolution data, this program is primarily developed Inhibitors,research,lifescience,medical for high resolution spectra and was shown to work best with LTQ-Orbitrap or quadrupole-TOF instrumentation. In contrast to other shotgun lipidomics software packages, LipidXplorer does not rely on a database for MS/MS spectra but rather depends on the concept of fragmentation queries, which reflects the variability of MS/MS spectra due to different

experimental settings much better. The software allows a lot of freedom for the user, like, for example, customized adjustment to various experimental parameters, but this requires some dedication. Processing of LC-MS generated data is usually more challenging because retention time adds Inhibitors,research,lifescience,medical another dimension of information. Endonuclease Originally developed for metabolomic data acquired by mass spectrometry [76,77], m/zMine and its sequel m/zMine2 were also successfully applied on lipidomic data [78]. Following peak detection, identification of lipids is performed by searches in public libraries or customized internal databases containing exact mass and approximate retention times. Furthermore also isotopic distributions and adducts can be taken into account for lipid identification. Although originally applied on quadrupole-TOF LC-MS data, m/zMine2 has become a versatile and highly flexible software, which can be used for data generated with various experimental platforms. In contrast to other software solutions, Lipid Data Analyzer (LDA) is based on a 3D algorithm (m/z, retention time, intensity) for peak detection [79].