The SwissLipids knowledgebase for lipid biology
| Autor: | F. Gisou van der Goot, Howard Riezman, Fabrice P. A. David, Lou Götz, Anne Niknejad, Nevila Hyka-Nouspikel, Dmitry Kuznetsov, Anne Gleizes, Robin Liechti, Alan Bridge, Lydie Bougueleret, Ioannis Xenarios, Lucila Aimo |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
0303 health sciences Databases Factual Knowledge Bases Databases and Ontologies Computational Biology Lipid metabolism Computational biology Biology Bioinformatics Lipid Metabolism Biochemistry Lipids Original Papers Mass Spectrometry Computer Science Applications 03 medical and health sciences Computational Mathematics 0302 clinical medicine Computational Theory and Mathematics ddc:540 Humans Molecular Biology 030217 neurology & neurosurgery 030304 developmental biology |
| Zdroj: | Bioinformatics (Oxford England) Bioinformatics, Vol. 31, No 17 (2015) pp. 2860-2866 Bioinformatics Bioinformatics, vol. 31, no. 17, pp. 2860-2866 |
| ISSN: | 1367-4803 |
| Popis: | 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. Results: To facilitate the description and exploration of lipidomic data and its integration with prior biological knowledge, we have developed a knowledge resource for lipids and their biology—SwissLipids. SwissLipids provides curated knowledge of lipid structures and metabolism which is used to generate an in silico library of feasible lipid structures. These are arranged in a hierarchical classification that links mass spectrometry analytical outputs to all possible lipid structures, metabolic reactions and enzymes. SwissLipids provides a reference namespace for lipidomic data publication, data exploration and hypothesis generation. The current version of SwissLipids includes over 244 000 known and theoretically possible lipid structures, over 800 proteins, and curated links to published knowledge from over 620 peer-reviewed publications. We are continually updating the SwissLipids hierarchy with new lipid categories and new expert curated knowledge. Availability: SwissLipids is freely available at http://www.swisslipids.org/. Contact: alan.bridge@isb-sib.ch Supplementary information: Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
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