Published March 8, 2023 | Version v1
Dataset Open

Supporting Information: High-throughput Saccharomyces cerevisiae cultivation method for credentialing-based untargeted metabolomics

  • 1. University of Luxembourg

Contributors

Contact person:

  • 1. University of Luxembourg

Description

F1: Physiological Constraints: Growth rate, glucose uptake, and intracellular 13C succinate concentration

F2: PAVE input and adduct list

F3: Credentialing results, HILIC data

F4: Credentialing results, RP lipids data

F5: HILIC Level 2A annotation with MS-DIAL and manual mass shift quality control

F6: R script for the MetFrag/PCLite-based annotation

F7: HILIC annotation with MetFrag/PCLite

F8: RP-lipids annotation with MS-DIAL

F9: Level 1 compounds identification

F10: InChKey-based YMDB and HMDB recovery analysis   

F11: InChKey-based comparison with PAVE publication

F12: Statistic Results

F13: Supernatant measurements

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