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Lipostar 2.0

Data processing pipeline for untargeted lipidomics

Description

Lipostar is a software developed by Molecular Discovery for LC-MS/MS-based lipidomics (DDA and DIA), which supports a large number of steps including lipid identification, quantification, statistical analysis, and biopathways analysis. Lipostar finds application either in untargeted, and semi-targeted lipidomics, including stable isotope labelling experiments. Within a Lipostar session, different modes of lipidomics analysis can be combined to increase the knowledge and obtain a more comprehensive analysis of lipid profiles. Lipid identification includes 1) a spectral matching approach, with the DB Manager module allowing to generate databases of fragmented lipids by applying fragmentation rules provided in the software or by importing experimental MS/MS data; 2) a high-throughput bottom-up approach, based on class-specific fragments recognition; 3) a high-throughput identification of oxidized species. Lipostar also includes unique features, such as the gap-filler to reduce the missing values and the trend analysis for global lipid profiling.

Technical Information

Publications:
PMID:28471643
Documentation:
Included in the installation folder (manual.pdf, tutorial.pdf)
Programming languages:
C++
Platforms:
Windows, linux, macOS
Input formats:
.d(Agilent), .d(Bruker), Shimadzu, .raw(Thermo), .raw(Waters)
Output formats:
CSV, Excel, Word
Interface:
GUI, Desktop
Licence:
Conditionally free (academic) / commercial license (commercial use) by request to Molecular Discovery (www.moldiscovery.com).

Sections

Section 4 — Lipid Identification (Untargeted)
Section 4.2 — Data Dependent Acquisition (DDA)
Section 4.3 — Data Independent Acquisition (DIA)
Section 4.4 — Ion Mobility Separation
Section 4.5 — Identification of Oxidised Lipids
Section 5 — Lipid Quantification (Untargeted)
Section 6 — Analysis and Visualisation
Section 7.3 — Pathway and Network Solutions