Glycosort: A Computational Solution to Post-process Quantitative Large-Scale Intact Glycopeptide Analyses.
- DOI
- 10.1007/978-3-031-50624-6_2
- Published
- 2024
- Container
- Advances in experimental medicine and biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-50624-6_2,
title = {Glycosort: A Computational Solution to Post-process Quantitative Large-Scale Intact Glycopeptide Analyses.},
author = {Lazari LC and Santiago VF and de Oliveira GS and Mule SN and Angeli CB and Rosa-Fernandes L and Palmisano G},
year = {2024},
journal = {Advances in experimental medicine and biology},
doi = {10.1007/978-3-031-50624-6_2},
url = {https://doi.org/10.1007/978-3-031-50624-6_2}
}RIS
TY - JOUR TI - Glycosort: A Computational Solution to Post-process Quantitative Large-Scale Intact Glycopeptide Analyses. AU - Lazari LC AU - Santiago VF AU - de Oliveira GS AU - Mule SN AU - Angeli CB AU - Rosa-Fernandes L AU - Palmisano G PY - 2024 JO - Advances in experimental medicine and biology DO - 10.1007/978-3-031-50624-6_2 UR - https://doi.org/10.1007/978-3-031-50624-6_2 ER -
APA
LC, L., VF, S., GS, D. O., SN, M., CB, A., L, R., & G, P. (2024). Glycosort: A Computational Solution to Post-process Quantitative Large-Scale Intact Glycopeptide Analyses.. Advances in experimental medicine and biology. https://doi.org/10.1007/978-3-031-50624-6_2
Source records
- pubmed · retrieved 2026-09-25T19:07:14.675Z