title: Bioinformatics for lipidomics.
abstract: Lipids are recognized as key participants in the regulation and control of cellular function, having important roles in signal transduction processes. The diversity in lipid chemical structure presents a challenge for establishing practical methods to generate and manage high volumes of complex data that translate into a snapshot of cellular lipid changes. The need for high-quality bioinformatics to manage and integrate experimental data becomes imperative at several levels: (1) definition of lipid classification and ontologies, (2) relational database design, (3) capture and automated pipelining of experimental data, (4) efficient management of metadata, (5) development of lipid-centric search tools, (6) analysis and visual display of results, and (7) integration of the lipid knowledge base into biochemical pathways and interactive maps. This chapter describes the recent contributions of the bioinformatics core of the LIPID MAPS consortium toward achieving these objectives.
authors.affiliation: San Diego Supercomputer Center, University of California, San Diego, La Jolla, California, USA.
authors.forename: Eoin
authors.initials: E
authors.lastname: Fahy
authors.forename: Dawn
authors.initials: D
authors.lastname: Cotter
authors.forename: Robert
authors.initials: R
authors.lastname: Byrnes
authors.forename: Manish
authors.initials: M
authors.lastname: Sud
authors.forename: Andrea
authors.initials: A
authors.lastname: Maer
authors.forename: Joshua
authors.initials: J
authors.lastname: Li
authors.forename: David
authors.initials: D
authors.lastname: Nadeau
authors.forename: Yihua
authors.initials: Y
authors.lastname: Zhau
authors.forename: Shankar
authors.initials: S
authors.lastname: Subramaniam
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D008055:Lipids / Q000737:chemistry*; D015394:Molecular Structure
chemical_list: D008055:Lipids