metabolomics platform alignment and metabolite identification
Dnr:
simp2024019
Type:
NAISS SENS
Principal Investigator:
Clemens Wittenbecher
Affiliation:
Chalmers tekniska högskola
Start Date:
2024-11-08
End Date:
2025-12-01
Primary Classification:
10203: Bioinformatics (Computational Biology) (applications to be 10610)
Webpage:
Allocation
- Castor /proj at UPPMAX: 128 GiB
- Castor /proj/nobackup at UPPMAX: 128 GiB
- Cygnus /proj at UPPMAX: 128 GiB
- Cygnus /proj/nobackup at UPPMAX: 128 GiB
- Bianca at UPPMAX: 2 x 1000 core-h/month
Abstract
Metabolite identification is critical for the biological interpretation of the untargeted metabolomics data in SIMPLER and alignment of untargeted metabolomics data across platforms is a precondition to use SIMPLER untargeted metabolomics data in combination with data from other platforms, for example, in pooled analyses or external validation designs.