Author correction: community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis (2022)
- Authors:
- Autor USP: PALMISANO, GIUSEPPE - ICB
- Unidade: ICB
- DOI: 10.1038/s41592-021-01368-0
- Subjects: PARASITOLOGIA; GLICOPEPTÍDEOS; PROTEÔMICA; ESPECTROMETRIA DE MASSAS; GLICOSÍDEOS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Nature Methods
- ISSN: 1548-7105
- Volume/Número/Paginação/Ano: v. 19, p. 130, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
KAWAHARA, Rebeca et al. Author correction: community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis. Nature Methods. London: Instituto de Ciências Biomédicas, Universidade de São Paulo. Disponível em: https://doi.org/10.1038/s41592-021-01368-0. Acesso em: 05 jun. 2024. , 2022 -
APA
Kawahara, R., Chernykh, A., Alagesan, K., Bern, M., Cao, W., Chalkley, R. J., et al. (2022). Author correction: community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis. Nature Methods. London: Instituto de Ciências Biomédicas, Universidade de São Paulo. doi:10.1038/s41592-021-01368-0 -
NLM
Kawahara R, Chernykh A, Alagesan K, Bern M, Cao W, Chalkley RJ, Cheng K, Choo MS, Edwards N, Palmisano G. Author correction: community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis [Internet]. Nature Methods. 2022 ; 19 130.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1038/s41592-021-01368-0 -
Vancouver
Kawahara R, Chernykh A, Alagesan K, Bern M, Cao W, Chalkley RJ, Cheng K, Choo MS, Edwards N, Palmisano G. Author correction: community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis [Internet]. Nature Methods. 2022 ; 19 130.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1038/s41592-021-01368-0 - Quantitative phosphoproteomic analysis of porcine muscle within 24 h postmortem
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Informações sobre o DOI: 10.1038/s41592-021-01368-0 (Fonte: oaDOI API)
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