Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Hartler, J; Tharakan, R; Köfeler, HC; Graham, DR; Thallinger, GG.
Bioinformatics tools and challenges in structural analysis of lipidomics MS/MS data.
Brief Bioinform. 2013; 14(3):375-390 Doi: 10.1093/bib/bbs030 [OPEN ACCESS]
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Leading authors Med Uni Graz

Hartler Jürgen

Co-authors Med Uni Graz

Köfeler Harald

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Abstract:

Lipidomics, the systematic study of the lipid composition of a cell or tissue, is an invaluable complement to knowledge gained by genomics and proteomics research. Mass spectrometry provides a means to detect hundreds of lipids in parallel, and this includes low abundance species of lipids. Nevertheless, frequently occurring isobaric and isomeric lipid species complicate lipidomics analyses from an analytical and bioinformatics perspective. Various MS/MS strategies have evolved to resolve ambiguous identifications of lipid species, and these strategies have been supported by corresponding bioinformatics analysis tools. This review intends to familiarize readers with available bioinformatics MS/MS analysis tools and databases, the structural information obtainable from these, and their applicability to different MS/MS strategies. Finally, future challenges in detecting double bond positions are investigated from a bioinformatics perspective.

Find related publications in this database (using NLM MeSH Indexing)

Computational Biology -

High-Throughput Screening Assays -

Lipids - chemistry

Molecular Structure -

Tandem Mass Spectrometry -

Find related publications in this database (Keywords)

lipidomics

MS

MS data analysis

high-throughput

MS

MS detection algorithms

analysis tools

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