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Oxford University Press (OUP), Bioinformatics, 17(31), p. 2860-2866

DOI: 10.1093/bioinformatics/btv285

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The SwissLipids knowledgebase for lipid biology

Journal article published in 2015 by Lucila Aimo, Robin Liechti, Nevila Hyka-Nouspikel, Nevila Nouspikel, Anne Niknejad ORCID, Anne Gleizes, Lou Götz, Dmitry Kuznetsov ORCID, Fabrice P. A. David, F. Gisou van der Goot, Howard Riezman ORCID, Lydie Bougueleret, Ioannis Xenarios, Alan Bridge
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Motivation: 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.