Interpreting the lipidome: bioinformatic approaches to embrace the complexity-Reference-Cited by-同舟云学术

Interpreting the lipidome: bioinformatic approaches to embrace the complexity

Published:2021-06 Issue:6 Volume:17 Page:
ISSN:1573-3882
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Kyle Jennifer E.^ORCID,Aimo Lucila^ORCID,Bridge Alan J.^ORCID,Clair Geremy^ORCID,Fedorova Maria^ORCID,Helms J. Bernd^ORCID,Molenaar Martijn R.^ORCID,Ni Zhixu,Orešič Matej^ORCID,Slenter Denise^ORCID,Willighagen Egon^ORCID,Webb-Robertson Bobbie-Jo M.^ORCID

Funder

Bundesministerium für Bildung und Forschung

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

https://link.springer.com/content/pdf/10.1007/s11306-021-01802-6.pdf

Reference61 articles.

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2. Alves, M. A., Lamichhane, S., Dickens, A., McGlinchey, A., Ribeiro, H. C., Sen, P., Wei, F., Hyötyläinen, T., & Orešič, M. (2021). Systems biology approaches to study lipidomes in health and disease. Biochimica et Biophysica Acta Molecular and Cell Biology of Lipids, 1866, 158857. https://doi.org/10.1016/j.bbalip.2020.158857.

3. Bowden, J. A., Ulmer, C. Z., Jones, C. M., Koelmel, J. P., & Yost, R. A. (2018). NIST lipidomics workflow questionnaire: An assessment of community-wide methodologies and perspectives. Metabolomics, 14, 53. https://doi.org/10.1007/s11306-018-1340-1.