Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 121-127 |
| Journal | Molecular bioSystems |
| Volume | 4 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2008 |
| MoE publication type | A1 Journal article-refereed |
Fingerprint
Keywords
- lipidomics
- lipids
- informatics
- bioinformatics
- pathway analysis
Cite this
}
Informatics and computational strategies for the study of lipids. / Yetukuri, Laxman; Ekroos, Kim; Vidal-Puig, Antonio; Orešič, Matej (Corresponding Author).
In: Molecular bioSystems, Vol. 4, No. 2, 2008, p. 121-127.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Informatics and computational strategies for the study of lipids
AU - Yetukuri, Laxman
AU - Ekroos, Kim
AU - Vidal-Puig, Antonio
AU - Orešič, Matej
PY - 2008
Y1 - 2008
N2 - Recent advances in mass spectrometry (MS)-based techniques for lipidomic analysis have empowered us with the tools that afford studies of lipidomes at the systems level. However, these techniques pose a number of challenges for lipidomic raw data processing, lipid informatics, and the interpretation of lipidomic data in the context of lipid function and structure. Integration of lipidomic data with other systemic levels, such as genomic or proteomic, in the context of molecular pathways and biophysical processes provides a basis for the understanding of lipid function at the systems level. The present report, based on the limited literature, is an update on a young but rapidly emerging field of lipid informatics and related pathway reconstruction strategies.
AB - Recent advances in mass spectrometry (MS)-based techniques for lipidomic analysis have empowered us with the tools that afford studies of lipidomes at the systems level. However, these techniques pose a number of challenges for lipidomic raw data processing, lipid informatics, and the interpretation of lipidomic data in the context of lipid function and structure. Integration of lipidomic data with other systemic levels, such as genomic or proteomic, in the context of molecular pathways and biophysical processes provides a basis for the understanding of lipid function at the systems level. The present report, based on the limited literature, is an update on a young but rapidly emerging field of lipid informatics and related pathway reconstruction strategies.
KW - lipidomics
KW - lipids
KW - informatics
KW - bioinformatics
KW - pathway analysis
U2 - 10.1039/b715468b
DO - 10.1039/b715468b
M3 - Article
VL - 4
SP - 121
EP - 127
JO - Molecular bioSystems
JF - Molecular bioSystems
SN - 1742-206X
IS - 2
ER -