Axel Dablanc

ORCID: 0009-0004-9019-7325
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About
Contact & Profiles
Research Areas
  • Advanced Proteomics Techniques and Applications
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Gene expression and cancer classification
  • Analytical Chemistry and Chromatography
  • Metabolomics and Mass Spectrometry Studies
  • Bioinformatics and Genomic Networks

Metabo (Switzerland)
2024

Laboratoire de Recherche en Sciences Végétales
2024

Université de Toulouse
2024

Centre National de la Recherche Scientifique
2024

Open mass spectral libraries (OMSLs) are critical for metabolite annotation and machine learning, especially given the rising volume of untargeted metabolomic studies development pipelines. Despite their importance, practical application OMSLs is hampered by lack standardized file formats, metadata fields, supporting ontology. Current libraries, often restricted to specific topics or matrices, such as natural products, lipids, human metabolome, may limit discovery potential studies. The goal...

10.1021/acs.analchem.4c02219 article EN cc-by-nc-nd Analytical Chemistry 2024-07-19

Open mass spectral libraries (OMSL) are critical for metabolite annotation and machine learning, especially given the rising volume of untargeted metabolomic studies development pipelines. Despite their importance, practical application OMSLs is hampered by lack standardized file formats, metadata fields, supporting ontology. Current libraries, often restricted to specific topics or matrices such as natural products, lipids, human metabolome, may limit discovery potential studies. FragHub...

10.26434/chemrxiv-2024-dc48x-v2 preprint EN cc-by-nc 2024-04-24

Open mass spectral libraries (OMSL) are critical for metabolite annotation and machine learning, especially given the rising volume of untargeted metabolomic studies development pipelines. Despite their importance, practical application OMSLs is hampered by lack standardized file formats, metadata fields, supporting ontology. Current libraries, often restricted to specific topics or matrices such as natural products, lipids, human metabolome, may limit discovery potential studies. FragHub...

10.26434/chemrxiv-2024-dc48x-v3 preprint EN cc-by-nc 2024-04-26

Open mass spectral libraries (OMSL) are critical for metabolite annotation and machine learning, especially given the rising volume of untargeted metabolomic studies development pipelines. Despite their importance, practical application OMSLs is hampered by lack standardized file formats, metadata fields, supporting ontology. Current libraries, often restricted to specific topics or matrices such as natural products, lipids, human metabolome, may limit discovery potential studies. FragHub...

10.26434/chemrxiv-2024-dc48x preprint EN 2024-04-24
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