Scientific article
OA Policy
English

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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Journal ISSN1367-4803
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Creation09/10/2020 11:09:00
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