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DeepLC can predict retention times for peptides that carry as-yet unseen modifications
View ORCID ProfileRobbin Bouwmeester, View ORCID ProfileRalf Gabriels, View ORCID ProfileNiels Hulstaert, View ORCID ProfileLennart Martens, View ORCID ProfileSven Degroeve
doi: https://doi.org/10.1101/2020.03.28.013003
Robbin Bouwmeester
†VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
‡Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
Ralf Gabriels
†VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
‡Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
Niels Hulstaert
†VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
‡Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
Lennart Martens
†VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
‡Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
Sven Degroeve
†VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
‡Department of Biomolecular Medicine, Ghent University, Ghent, Belgium
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Posted March 29, 2020.
DeepLC can predict retention times for peptides that carry as-yet unseen modifications
Robbin Bouwmeester, Ralf Gabriels, Niels Hulstaert, Lennart Martens, Sven Degroeve
bioRxiv 2020.03.28.013003; doi: https://doi.org/10.1101/2020.03.28.013003
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