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Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining

View ORCID ProfileJohn A. Bachman, View ORCID ProfilePeter K. Sorger, View ORCID ProfileBenjamin M. Gyori
doi: https://doi.org/10.1101/822668
John A. Bachman
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
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Peter K. Sorger
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
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  • For correspondence: benjamin_gyori@hms.harvard.edu lsp-papers@hms.harvard.edu peter_sorger@hms.harvard.edu
Benjamin M. Gyori
1Laboratory of Systems Pharmacology, Harvard Medical School, 200 Longwood Avenue, Boston, MA 02115
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  • For correspondence: benjamin_gyori@hms.harvard.edu lsp-papers@hms.harvard.edu peter_sorger@hms.harvard.edu
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Posted October 29, 2022.
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Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining
John A. Bachman, Peter K. Sorger, Benjamin M. Gyori
bioRxiv 822668; doi: https://doi.org/10.1101/822668
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Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining
John A. Bachman, Peter K. Sorger, Benjamin M. Gyori
bioRxiv 822668; doi: https://doi.org/10.1101/822668

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