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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite IDSL.SUFA 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.