To cite IDSL.UFAx in publications, please use:

Fakouri Baygi et. al., IDSL. UFA assigns high confidence molecular formula annotations for untargeted LC/HRMS datasets in metabolomics and exposomics Analytical Chemistry, 2022, 94(39), 13315–13322,<doi:10.1021/acs.analchem.2c00563>

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Corresponding BibTeX entry:

  @Article{,
    author = {Sadjad Fakouri Baygi and Sanjay K Banerjee and Praloy
      Chakraborty and Yashwant Kumar and Dinesh Kumar Barupal},
    title = {IDSL. UFA assigns high confidence molecular formula
      annotations for untargeted LC/HRMS datasets in metabolomics and
      exposomics},
    journal = {Analytical Chemistry},
    year = {2022},
    volume = {94},
    number = {39},
    pages = {13315–13322},
    url = {https://pubs.acs.org/doi/10.1021/acs.analchem.2c00563},
  }