Abstract
Lipidomics owes its emergence to technologies developed over the past
decade that empowered us with the ability to detect and quantify
hundreds of intact lipid molecular species in parallel. One of the
biggest current challenges of lipidomics is the elucidation of important
pathobiological phenomena from the integration of large amounts of new
data becoming available. In this respect, development of lipidomics as a
field bears many similarities to the emergence and progress of
genomics. Initial excitement over the ability to measure the expression
of large numbers of genes in parallel was soon overshadowed by concerns
over the ability to reliably analyze and interpret the expression data.
This led to active research in the area of bioinformatics, which led to
improved statistical methods as well as to new approaches for the
analysis of transcriptome data in the pathway context. This review
covers recent bioinformatics developments of relevance to analysis and
interpretation of analytical lipidomics data, with the focus primarily
on practical aspects of lipid bioinformatics.
Original language | English |
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Pages (from-to) | 99-106 |
Journal | European Journal of Lipid Science and Technology |
Volume | 111 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2009 |
MoE publication type | A2 Review article in a scientific journal |
Keywords
- Bioinformatics
- lipidomics
- metabolomics
- pathway analysis
- systems biology