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Scientific article
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The SwissLipids knowledgebase for lipid biology

Published inBioinformatics, vol. 31, no. 17, p. 2860-2866
Publication date2015
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.

Citation (ISO format)
AIMO, Lucila et al. The SwissLipids knowledgebase for lipid biology. In: Bioinformatics, 2015, vol. 31, n° 17, p. 2860–2866. doi: 10.1093/bioinformatics/btv285
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ISSN of the journal1367-4803
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Technical informations

Creation10/09/2020 11:09:00 AM
First validation10/09/2020 11:09:00 AM
Update time03/15/2023 11:44:01 PM
Status update03/15/2023 11:44:00 PM
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