Supporting Information
Supporting Information File 1: Supplementary Tables S1–S42. | ||
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Supporting Information File 2: GlypNirO workflow overview. | ||
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Supporting Information File 3: Glypniro-master; automated script for processing and combining Byonic and PD standard output. | ||
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Cite the Following Article
GlypNirO: An automated workflow for quantitative N- and O-linked glycoproteomic data analysis
Toan K. Phung, Cassandra L. Pegg and Benjamin L. Schulz
Beilstein J. Org. Chem. 2020, 16, 2127–2135.
https://doi.org/10.3762/bjoc.16.180
How to Cite
Phung, T. K.; Pegg, C. L.; Schulz, B. L. Beilstein J. Org. Chem. 2020, 16, 2127–2135. doi:10.3762/bjoc.16.180
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- Aoki-Kinoshita, K. F.; Lisacek, F.; Karlsson, N.; Kolarich, D.; Packer, N. H. GlycoBioinformatics. Beilstein journal of organic chemistry 2021, 17, 2726–2728. doi:10.3762/bjoc.17.184
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- Kerr, E. D.; Caboche, C. H.; Pegg, C. L.; Phung, T. K.; Viejo, C. G.; Fuentes, S.; Howes, M. T.; Howell, K.; Schulz, B. L. The post-translational modification landscape of commercial beers. Cold Spring Harbor Laboratory 2021. doi:10.1101/2021.01.27.427706
- Pujić, I.; Perreault, H. Recent advancements in glycoproteomic studies: Glycopeptide enrichment and derivatization, characterization of glycosylation in SARS CoV2, and interacting glycoproteins. Mass spectrometry reviews 2021, 41, 488–507. doi:10.1002/mas.21679