oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bioinformatics strategies for the analysis of lipids
Department of Medical Biochemistry and Biophysics, Division of Physical Chemistry II, Karolinska Institutet, Stockholm, Sweden; Bioinformatics Center, Institute for Chemical Research Kyoto University, Kyoto, Japan.
Bioinformatics Center, Institute for Chemical Research Kyoto University, Kyoto, Japan.
VTT Technical Research Centre of Finland, Espoo, Finland.
Department of Medical Biochemistry and Biophysics, Division of Physical Chemistry II, Karolinska Institutet, Stockholm, Sweden; Department of Parasitology, Department of Biochemical Sciences University of San Paulo, San Paulo, Brazil.
Show others and affiliations
2009 (English)In: Methods in Molecular Biology, ISSN 1064-3745, E-ISSN 1940-6029, Vol. 580, p. 339-368Article in journal (Refereed) Published
Abstract [en]

Owing to their importance in cellular physiology and pathology as well as to recent technological advances, the study of lipids has reemerged as a major research target. However, the structural diversity of lipids presents a number of analytical and informatics challenges. The field of lipidomics is a new postgenome discipline that aims to develop comprehensive methods for lipid analysis, necessitating concomitant developments in bioinformatics. The evolving research paradigm requires that new bioinformatics approaches accommodate genomic as well as high-level perspectives, integrating genome, protein, chemical and network information. The incorporation of lipidomics information into these data structures will provide mechanistic understanding of lipid functions and interactions in the context of cellular and organismal physiology. Accordingly, it is vital that specific bioinformatics methods be developed to analyze the wealth of lipid data being acquired. Herein, we present an overview of the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and application of its tools to the analysis of lipid data. We also describe a series of software tools and databases (KGML-ED, VANTED, MZmine, and LipidDB) that can be used for the processing of lipidomics data and biochemical pathway reconstruction, an important next step in the development of the lipidomics field.

Place, publisher, year, edition, pages
Springer, 2009. Vol. 580, p. 339-368
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:oru:diva-70929DOI: 10.1007/978-1-60761-325-1_19PubMedID: 19784609OAI: oai:DiVA.org:oru-70929DiVA, id: diva2:1345915
Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-08-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records BETA

Oresic, Matej

Search in DiVA

By author/editor
Oresic, Matej
In the same journal
Methods in Molecular Biology
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 9 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf