The SwissLipids knowledgebase for lipid biology | Zendy

Lucila Aimo | Zendy; Robin Liechti | Zendy; Nevila HykaNouspikel | Zendy; Anne Niknejad | Zendy; Anne Gleizes | Zendy; Lou Götz | Zendy; Dmitry Kuznetsov | Zendy; Fabrice David | Zendy; Gijs R. van den Brink | Zendy; Howard Riezman | Zendy; Lydie Bougueleret | Zendy; Ioannis Xénarios | Zendy; Alan Bridge | Zendy

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The SwissLipids knowledgebase for lipid biology

Author(s) -

Lucila Aimo,

Robin Liechti,

Nevila HykaNouspikel,

Anne Niknejad,

Anne Gleizes,

Lou Götz,

Dmitry Kuznetsov,

Fabrice David,

Gijs R. van den Brink,

Howard Riezman,

Lydie Bougueleret,

Ioannis Xénarios,

Alan Bridge

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv285

Subject(s) - computational biology , computer science , biomedicine , lipidomics , systems biology , hierarchy , resource (disambiguation) , lipid metabolism , in silico , data science , biology , bioinformatics , biochemistry , computer network , economics , gene , market economy

Lipids are a large and diverse group of biological molecules with roles in membrane formation, energy storage and signaling. Cellular lipidomes may contain tens of thousands of structures, a staggering degree of complexity whose significance is not yet fully understood. High-throughput mass spectrometry-based platforms provide a means to study this complexity, but the interpretation of lipidomic data and its integration with prior knowledge of lipid biology suffers from a lack of appropriate tools to manage the data and extract knowledge from it.

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