Integrative open workflow for confident annotation and molecular networking of metabolomics MSE/DIA data

Vol 9, 2023 - 167314
Oral
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Abstract

Combined open software pipeline enhances accessibility, reliability, and reproducibility of complex MSE/DIA studies, providing confident annotation and molecular networking for speeding discoveries of metabolomics data.

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Institutions
  • 1 Universidade Federal de Alfenas
  • 2 Leibniz Association
  • 3 Universidade Federal de Sergipe
  • 4 Waters
  • 5 Universidade Federal de Juiz de Fora
  • 6 Universidade Federal do ABC
Track
  • 1. Biodiversity and Natural Products
Keywords
Data-independent acquisition; Open software; Mass Spectrometry; Ocotea; Metabolomics