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Software tools, databases and resources in metabolomics: updates from 2018 to 2019.

Keiron O'SheaBiswapriya Biswavas Misra
Published in: Metabolomics : Official journal of the Metabolomic Society (2020)
Metabolomics has evolved as a discipline from a discovery and functional genomics tool, and is now a cornerstone in the era of big data-driven precision medicine. Sample preparation strategies and analytical technologies have seen enormous growth, and keeping pace with data analytics is challenging, to say the least. This review introduces and briefly presents around 100 metabolomics software resources, tools, databases, and other utilities that have surfaced or have improved in 2019. Table 1 provides the computational dependencies of the tools, categorizes the resources based on utility and ease of use, and provides hyperlinks to webpages where the tools can be downloaded or used. This review intends to keep the community of metabolomics researchers up to date with all the software tools, resources, and databases developed in 2019, in one place.
Keyphrases
  • big data
  • mass spectrometry
  • healthcare
  • artificial intelligence
  • machine learning
  • mental health
  • single cell
  • high resolution