Abstract
The rapid increase in lipidomic data has triggered a community-based movement to develop guidelines and minimum requirements for generating, reporting and publishing lipidomic data. The creation of a dynamic checklist summarizing key details of lipidomic analyses using a common language has the potential to harmonize the field by improving both traceability and reproducibility.
Original language | English |
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Pages (from-to) | 1086-1088 |
Number of pages | 3 |
Journal | Nature Metabolism |
Volume | 4 |
Issue number | 9 |
DOIs | |
Publication status | Published - Aug 2022 |
Austrian Fields of Science 2012
- 106005 Bioinformatics
- 302014 Endocrinology
- 301302 Lipidomics research