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To cite IDSL.UFA in publications, please use:

Baygi SF, Banerjee SK, Chakraborty P, Kumar Y, Barupal DK (2022). “IDSL. UFA assigns high confidence molecular formula annotations for untargeted LC/HRMS datasets in metabolomics and exposomics.” Analytical Chemistry, 94(39), 13315–13322. https://pubs.acs.org/doi/10.1021/acs.analchem.2c00563.

We appreciate citing our manuscript to gain visibility in the scientific community!

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},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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