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rMSIfragment: improving MALDI-MSI lipidomics through automated in-source fragment annotation.
Baquer, Gerard; Sementé, Lluc; Ràfols, Pere; Martín-Saiz, Lucía; Bookmeyer, Christoph; Fernández, José A; Correig, Xavier; García-Altares, María.
Affiliation
  • Baquer G; Department of Electronic Engineering, University Rovira I Virgili, Tarragona, Spain. gerard.baquer@alumni.urv.cat.
  • Sementé L; Department of Electronic Engineering, University Rovira I Virgili, Tarragona, Spain.
  • Ràfols P; Department of Electronic Engineering, University Rovira I Virgili, Tarragona, Spain. pere.rafols@urv.cat.
  • Martín-Saiz L; Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain. pere.rafols@urv.cat.
  • Bookmeyer C; Institut D'Investigacio Sanitaria Pere Virgili, Tarragona, Spain. pere.rafols@urv.cat.
  • Fernández JA; Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain.
  • Correig X; Department of Electronic Engineering, University Rovira I Virgili, Tarragona, Spain.
  • García-Altares M; Institute of Hygiene, University of Münster, Münster, Germany.
J Cheminform ; 15(1): 80, 2023 Sep 15.
Article in En | MEDLINE | ID: mdl-37715285
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Cheminform Year: 2023 Document type: Article Affiliation country: Spain Country of publication: United kingdom
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Cheminform Year: 2023 Document type: Article Affiliation country: Spain Country of publication: United kingdom